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A new client is waiting.
Bring agreements, document requests and team tasks into one onboarding path, so someone always owns the next action.
Explore onboardingBusiness process automation
The next step.
Without the chase.
You should not have to ask three people where a job stands. Or remind someone to send the same document. Again.
We connect the work between your people and systems, so requests have an owner, information reaches the right place and your team knows what happens next.
Free first conversation. Implementation and ongoing support scoped separately.
Your people bring the judgement.
The system carries the next step.
A job should move forward.
Not back to you.
Picture a new client ready to start. The agreement is in one place, the documents in another. Your team should be able to see what is missing and who takes it from here.
When people carry every handoff
Find the email Check the folder Ask the owner Chase again
- Request receivedOne record
The enquiry and its details stay together.
- Details checkedA clear next action
Missing documents trigger the agreed request.
- Person approvesYour team decides
A named person checks the work before it moves.
- Work handed overThe next owner knows
The task arrives with the context to begin.
Something missing?
The work waits visibly. The right person is told. It never moves on a guess.
Start with the part of your week you keep rescuing.
You do not need to rebuild the business. Start with one process that crosses people, departments or systems and keeps losing momentum.
Find a useful first stepThe same details are entered twice.
Decide which record to trust, then connect the systems that need it. Give your team a clear way to spot and resolve a failed transfer.
Explore connected recordsEverything needs your approval.
Write down which decisions need you, who can handle the rest and when a stalled item should be brought to your attention.
Explore human controlsLooking for customer follow-up, reminders or a CRM workflow? Explore Workflow, CRM & Automation
Keep what works.
Fix what gets in the way.
We begin with a free conversation about one process. If there is a useful project, we agree its scope before the detailed diagnosis and implementation begin.
- A written workflow your team can understand and correct.
- Existing systems configured and connected where they fit.
- Tested exceptions, clear ownership and a practical handover.
Project work, software, usage and ongoing support are identified separately in your scope. The first conversation is free; the detailed workflow diagnosis is part of a paid engagement.
Start with a free conversationThe detail behind a dependable operation.
Open the part you need. See how we choose, design, test and look after a workflow.
Where work gets stuckRecognise the gaps between your tools and your team.
Software exists. The workflow still feels broken.
If several of these describe a normal week, the problem is not that you lack tools. It is that no agreed path runs through them.
- The CRM exists, and the team still runs on spreadsheetsThe system holds a partial record. The real one is somewhere else.
- The same details are copied between tools by handEvery copy is a chance to be wrong and a reason to distrust reports.
- Requests disappear between teamsNothing failed. It was handed over and nobody picked it up.
- Documents are chased manuallySomebody's week is spent asking for things that could ask for themselves.
- Scheduling takes four emailsAvailability lives in someone's head instead of a calendar the process can read.
- Approvals happen in emailThere is no record of who approved what, on what information, or when.
- Nobody can see where anything isStatus is assembled by asking people, which means status is always old.
- Different systems hold different versions of the truthNobody has decided which one wins, so reconciliation becomes a job.
- Follow-up depends on memoryUnder pressure, the things that depend on remembering are the things that stop.
- Onboarding is different every timeThe experience a client gets depends on who is handling it that week.
- Staff repeat the same administrative stepsSkilled people spend their day on work that has no decision in it.
- Reporting has to be reconciled by handThe numbers arrive late, and arguments about them are really arguments about the data.
None of these is a software problem exactly. The business usually owns capable tools. What is missing is an agreed path through them: a record that everyone trusts, an owner at every step, and a defined answer for the moments when something does not go as planned.
Design the work before automating itThe record, the owner and the next step.
A bad process automated is a bad process at speed.
Automation is not the goal. A reliable operation is. Automating a process that was never designed simply makes an unreliable operation run faster, with fewer people watching it. The work that matters happens before anything is automated: deciding how the process should actually run, which record is authoritative, who owns each step, and what is supposed to happen when something goes wrong.
The workflow is designed first
We describe how the work should run, stage by stage, with the conditions to advance, the owner at each point and the exceptions that actually occur. That description is short, and it is the thing that gets agreed. Everything after it is implementation.
One record is made authoritative
For every kind of information the process touches, one system becomes the owner and the rest hold references. This single decision removes most reconciliation work, and skipping it is why so many automation projects produce new disagreements instead of fewer.
Automation is applied where it is safe and useful
Repetitive, rule-clear, stable steps get automated. Steps that need judgement keep a person, with better information in front of them. The measure of a good design is not how much got automated, but how little of the remaining human work is wasted.
Failure is designed, not discovered
Every automated step is given a defined behaviour for the case where it cannot complete: who is told, what queues, what escalates, what must never pass silently. This is the part that separates an operation you can rely on from one that quietly loses things faster.
What we use, once the workflow is designed
- Process designStages, conditions, owners, exceptions. Written down before anything is built.
- ConfigurationSetting up the platforms you already own so they match the agreed process.
- IntegrationConnecting systems so information moves without a person carrying it.
- AutomationTriggers, actions, routing, reminders and scheduled work that runs without prompting.
- Data and reportingA system of record per entity, and operational views built from it.
- AIUsed where language and variation defeat rules: classifying, extracting, summarising, drafting, retrieving.
- Custom componentsBuilt only where no existing platform can hold the process safely.
- Human decisionKept deliberately, with the context assembled and the record written for them.
These are layers of one answer, not a menu. A typical engagement uses four or five of them. The skill is choosing the least amount of machinery that makes the process reliable.
Configure, connect, automate or build?Choose the right level of change.
Configure, integrate, automate or build.
Four different answers that get confused with each other, usually because a supplier only sells one of them. They solve different problems and cost different amounts.
Configure
Can the software already do this?
The platform can hold the process. It was set up once, at purchase, and never matched to how the work actually runs.
What it involves
- Rebuild the fields, stages and permissions around the real process
- Agree how data is entered, so reports can be trusted
- Turn on the capability that was already paid for and never used
- Remove the private workarounds the setup forced people to invent
- The signal
- Somebody can name the feature you need, and can also explain why nobody uses it.
- When it is the wrong answer
- The process itself is unresolved. Configuring around a broken process locks the broken process in.
Integrate
Do the systems work, but not together?
Each platform does its own job. The losses happen at the handoffs, where a person carries information from one screen to another.
What it involves
- Name one system of record for each kind of information
- Connect the platforms so information moves without being retyped
- Handle the failures: what retries, what queues, what alerts a person
- Replace the reconciliation job with a connection that is monitored
- The signal
- You can draw the process on one page, and every break happens at an arrow rather than inside a box.
- When it is the wrong answer
- A platform has no usable interface, or the integration would become so tangled that nobody owns the result.
Automate
Can this step run reliably without a person each time?
The process is stable and repetitive, the rules can be written down, and the consequence of an occasional error is manageable and recoverable.
What it involves
- Trigger the next step from a real event rather than someone remembering
- Route, remind, schedule and escalate on stated conditions
- Assemble context so the human steps that remain are quick and informed
- Make the state of every item visible without anyone being asked
- The signal
- You can describe the step to a new starter in two sentences and they would get it right every time.
- When it is the wrong answer
- The step needs judgement, carries a consequence that is hard to reverse, or runs so rarely that the automation would rot before it paid for itself.
Build
Is there anywhere for this process to live?
The workflow is strategically important and genuinely specific, and no available platform can hold it without material compromise.
What it involves
- Model the records, states and rules the way the business describes them
- Give the process an interface designed for the people who run it
- Keep the surrounding platforms in place and connect to them
- The signal
- You have already tried to buy it, and every option requires the team to work around it from day one.
- When it is the wrong answer
- A well-configured commercial product would do the job. That is almost always the better decision.
This one is not ours to sell here. Custom software development
We work through these in order and stop at the first one that makes the process reliable. Configure the tools you have, connect them or automate the repeatable steps. If the process needs software that does not exist yet, we scope a custom build separately and explain why.
Follow an enquiry from start to finishBefore, after and when something goes wrong.
One enquiry, traced three ways.
The same nine steps as they usually run, as they run once designed, and, most importantly, what happens on the day something goes wrong.
Figure 01The same nine steps, before and after designProcess diagram
One new enquiry, from arrival to a booked next step.
How it runs now
Nine steps, four of them invisible
This is the shape most operations are actually in. Nothing here is anyone's fault, and every step was a reasonable decision at the time.
- 01Enquiry arrives in a shared inboxIt is now somebody's job, but not anybody's in particular.No owner
- 02Someone notices itResponse time depends entirely on who is at their desk.Person
- 03Details retyped into the CRMThe same information now exists in two places and can disagree.Person
- 04Added to a spreadsheet so it is not lostA third record, and usually the one the team actually trusts.Person
- 05Email sent asking for documentsWhether it gets chased depends on how busy the week is.Person
- 06Reply lands in a personal inboxThe rest of the business cannot see that it arrived.No owner
- 07Scheduling by email, back and forthReal availability is not visible to either side.Person
- 08Follow-up depends on rememberingThis is the step that fails first when volume rises.Person
- 09Status: ask someoneThe only way to know where anything is, is to interrupt a person.No owner
Every person in this trace is competent. The process is what is unreliable.
How it runs designed
One record, named owners, visible state
The same enquiry after the workflow has been designed and the layers applied. Two steps still belong to a person, deliberately.
- 01Enquiry captured at the sourceForm, call or message creates one record. There is no retyping.System
- 02Checked against stated criteriaWritten rules, not a guess. Anything ambiguous goes to a person.Rules
- 03Written to the system of recordOne authoritative record. Everything else references it.System
- 04Routed to a named ownerOwnership is assigned by rule, so nothing sits unclaimed.Rules
- 05Documents requested and trackedRequests, reminders and receipt are handled without a person chasing.System
- 06Classified and summarised on arrivalWhere documents vary, a model sorts and summarises. A person still confirms.AI
- 07Booked against real availabilityCapacity, skills and working hours are respected by the booking itself.System
- 08The decision that needs judgementKept human on purpose, with the context already assembled.Person
- 09Next event scheduled and state visibleAnyone can see where this is without asking anyone.System
Fewer steps have a person in them. The steps that still do are the ones worth a person's time.
When it goes wrong
The part most automation projects skip
A designed operation is judged on its bad days. These are the behaviours we specify before anything is switched on.
- 01The document never arrivesReminders run to a stated limit, then it escalates to a named person.Rules
- 02The qualification is ambiguousRules that cannot decide hand over to a human queue. They never guess.Person
- 03A connected system is unavailableThe work queues and retries. An owner is alerted. Nothing is dropped.System
- 04The customer replies somewhere elseOut-of-band replies are attached to the record and the owner is told.System
- 05The owner is awayReassignment fires on a stated rule rather than on someone noticing.Rules
- 06An approval is not given in timeIt escalates. Approvals do not expire quietly, and the trail is kept.Rules
- 07The model is unsureLow confidence routes to a person. It does not proceed on a guess.Person
- 08Something genuinely unprecedentedThe system stops, flags it and waits. Stopping is the correct behaviour.Person
Every one of these is decided in design and tested before launch, because this is where trust in a system is won or lost.
What should stay with a person?A practical framework for each step.
Should this step be automated?
Asked per step rather than per process, which is why a well-designed workflow usually ends up part automated and part human rather than one or the other.
Figure 02Where a step lands, and what that meansFramework
Automate it fully
High frequency, clear rules, stable process, low judgement, recoverable failure
These are the steps worth taking off people entirely: routing, reminders, record updates, scheduled actions, requests and receipts. They still get monitoring and a defined failure behaviour, but nobody needs to watch them run.
Automate up to a human checkpoint
High frequency and clear rules, but the outcome is hard to reverse
The system does everything up to the decision, assembles the context and presents it. A person approves or declines, and that approval is recorded. Most of the time saved comes from the preparation rather than the decision.
Keep it human, remove the friction
Real judgement required, but surrounded by administrative drag
The decision stays with a person. The work around it does not: finding the file, assembling the history, writing the record afterwards, telling the next person. Often the largest and most welcome improvement available.
Do not automate it yet
Unstable process, unclear rules, high exception rate, or the step should not exist
Some steps only exist because something upstream is broken. Automating them preserves the fault and makes it harder to see. The honest recommendation here is to fix or remove the step, then revisit it.
The nine questions we ask of a step
| Dimension | What we ask | Points to automation | Points to a person |
|---|---|---|---|
| Frequency | How often does this step run? | Daily or many times a week, so the work compounds. | A few times a year. The automation would rot before it repaid the effort. |
| Process stability | How settled is the way it runs? | It has worked this way for a long time and is not being redesigned. | It is actively changing. Settle it before encoding it. |
| Rule clarity | Can the decision be written down? | Yes, completely, including the edge cases. | It depends on context a rule cannot capture. |
| Exception rate | How often is it not the normal case? | Rarely, and the exceptions are themselves predictable. | Often, and each one is different. |
| Consequence of failure | What happens if it goes wrong? | Noticed quickly and cheaply corrected. | Money moves, a commitment is made, or somebody is harmed. |
| Judgement required | Is there a real decision in it? | No. It is applying a known rule to known information. | Yes. Experience, negotiation or care is what makes it right. |
| Data availability | Is the information there and trustworthy? | Yes, in a system, structured and current. | It lives in people's heads or in inconsistent free text. |
| System access | Can the software reach what it needs? | Documented interfaces and permissions that can be granted. | No usable interface, or access that cannot be given safely. |
| Business importance | Does doing this well matter? | It affects capacity, cost, response time or the customer's experience. | It is minor. Automating it is effort spent for tidiness. |
Two dimensions decide most cases: how much judgement a step needs, and how often it runs. The rest adjust the answer. We apply this per step rather than per process, which is why a well-designed workflow usually ends up part automated and part human rather than one or the other.
The processes we can help withIntake, operations, documents, data and more.
The processes we work on.
Organised by the business system they belong to. Most engagements take one of these and do it properly rather than touching several at once.
Client intake
Everything between a person making contact and the business being ready to act.
- Capture at the source
- Qualification against stated criteria
- Routing to a named owner
- Scheduling against real availability
- Document collection and tracking
- Notifications and reminders
- Handoffs between teams
Client onboarding
The stretch that most often decides whether a new client feels well handled.
- Agreements and signature
- Structured forms and data capture
- Account and access provisioning
- Task creation across the team
- Document requests with follow-up
- Status visible to the client
- A consistent path regardless of who is handling it
Operations
The daily running of work: who does what next, and what happens when it stops.
- Approval workflows with a record
- Internal routing and assignment
- Task triggers from real events
- Escalation on time or condition
- Explicit process state
- Exception handling and queues
- Capacity and workload visibility
CRM and revenue operations
Making the customer record something the business can actually run on.
- Lifecycle stages that match reality
- Ownership and reassignment rules
- Follow-up that does not rely on memory
- Pipeline logic and progression
- Reactivation of dormant records
- Handoffs between sales and delivery
- Source tracking and attribution
Document workflows
Getting documents out of inboxes and into a process that can see them.
- Collection and chasing
- Classification on arrival
- Extraction of the fields that matter
- Human review and confirmation
- Versioning and storage
- Routing to the next step
- Retention and access rules
Data and reporting
Ending the reconciliation job and making operational state visible.
- System-of-record decisions per entity
- Synchronisation between platforms
- Normalisation of inconsistent data
- Operational dashboards
- Stage-level measurement
- Exception and backlog reporting
Integrations
The connective work that makes several platforms behave like one.
- Native integrations where they are adequate
- Interfaces and webhooks where they are not
- Event-driven workflows
- Middleware where a direct connection is fragile
- Scheduled synchronisation where live is not possible
- Monitoring and failure handling
AI where it is useful
A layer inside the workflow, not a replacement for it.
- Classification of messages and documents
- Extraction from unstructured material
- Summarising for a human decision
- Drafting replies a person owns
- Retrieval from your own material
- Bounded conversational interfaces
These describe the kinds of process work we do. They are categories of engagement, not a claim that each has been delivered for a named client. Where we can point to specific documented work, we name it.
The controls behind the workflowApprovals, exceptions, ownership and fallback.
We do not automate only the happy path.
It is easy to automate the path where everything goes to plan. That path is a small share of real operating life, and it is not where trust is earned. We design the operation around what happens when something goes wrong, because that is what people judge a system by.
- 01
Exception handling
Every automated path is specified with its failure case. What happens when the information is missing, the system is down, the reply never comes, or the input is not what the rule expected. These are decided in design, not discovered in production.
- 02
Escalation
Waiting is not a state a process should be able to stay in forever. Each waiting step has a limit and a destination: who hears about it, after how long, and what they are expected to do.
- 03
Approvals
Anything that commits the business keeps a person on it, and the approval is recorded: who, when, and on what information. An approval nobody can later evidence is not a control.
- 04
Auditability
The record shows what happened and why, including what the automation did on its own. When somebody asks why a customer received something, the answer should be retrievable rather than reconstructed.
- 05
Ownership
Every item has a current owner and every automated path has a responsible person. Work that belongs to the system in general belongs to nobody in particular.
- 06
Fallback states
When automation cannot run, the process degrades to something a person can operate rather than stopping dead. Reverting to manual should be a known procedure, not an emergency.
- 07
Human judgement
Kept deliberately where experience, negotiation or care is what makes the outcome right. The system's job at those moments is to make the person fast and well informed, not to replace them.
What we deliver, stage by stageFrom a scoped diagnosis to operating support.
How an engagement runs.
Eight stages, each producing something you can read and disagree with before the next one starts.
- 01
Workflow diagnosis
How the process runs now, where it breaks, what the breaks cost, and what has already been tried. Deliberately short, and scoped to reach a decision rather than to produce a report.
ProducesA stated problem and a recommended mode: configure, integrate, automate or build.
- 02
System definition
The designed workflow: stages, conditions, owners, the system of record for each entity, the exceptions and the escalations. Written plainly enough that the people who run the work can correct it.
ProducesAn agreed workflow definition and acceptance criteria.
- 03
Architecture and platform decisions
What runs where, what stays, what connects, and what the failure behaviour of each dependency is. Decided before implementation, because these are the expensive choices to revisit.
ProducesA named architecture and an integration boundary.
- 04
Configuration and integration
Setting up the platforms to match the agreed process and connecting them, with ownership settled, errors handled and monitoring in place.
ProducesPlatforms configured and connected, with monitoring.
- 05
Automation implementation
Triggers, routing, reminders, scheduling, document handling and any AI-assisted steps, built to the definition and instrumented from the start.
ProducesThe automated workflow running in a test environment.
- 06
Testing and exception handling
The normal path, then the awkward ones on purpose: missing information, unavailable systems, absent owners, ambiguous inputs. We test the bad days before launch.
ProducesTested behaviour for the normal and exception paths.
- 07
Deployment
A deliberate cutover with a documented fallback, and training built around the jobs people do rather than a tour of the features.
ProducesA live workflow, a trained team, and a way back.
- 08
Operating support
Monitoring, failure investigation, maintaining connections as platforms change, and improving the workflow against agreed measures.
ProducesA running operation with named responsibility.
Diagnosis is scoped to reach a decision and define the right workflow. It is part of the engagement rather than a free strategy exercise, and it does not run open-ended. We look far enough to build the right thing.
How we work with your existing systemsKeep what works. Connect what needs to move.
Use the simplest architecture that solves it reliably.
Use the simplest architecture that solves it reliably
Every additional connection, automation and custom component is something that has to keep working. The right design is the smallest one that makes the process dependable, not the most capable one available.
Working systems stay
We do not replace a platform because it is old or because we would have chosen differently. Replacement is a decision with its own cost and needs its own justification.
An implementation can mix everything
A single engagement might configure your CRM, connect it to two other platforms, automate six steps, add one AI-assisted step and build one small component. That mixture is normal and is chosen deliberately.
Nothing runs where nobody understands it
If a piece of the operation can only be maintained by us, that is a risk we have created. Automations are documented, named and explainable to the people who depend on them.
The process can still be changed
Businesses change. A workflow that can only be altered by rebuilding it was designed badly. Change paths are part of the design rather than a later problem.
What we will not do
- Automate a process the business has not yet agreed on
- Replace a platform that works because we would have chosen a different one
- Automate a step whose failure would be expensive and hard to notice
- Leave an automated path without a named owner and a defined failure behaviour
- Sell a discovery phase as a standalone deliverable with no route to a working system
- Put a model where a written rule would be more reliable
Where the answer sits elsewhere:
Read the documented workTwo operations, their changes and their measured records.
Two operations, two different mixtures.
Two engagements where the work and the counts are documented. Each began with a process that people were holding together, and each used a different mixture of configuration, integration and automation.
Configure and automate
BGM Insurance Agency
A commercial lines agency in Atlanta with 18 producers, already licensing a well-known CRM.
The problem
Some producers used the CRM. Others kept spreadsheets and Outlook folders, because the default setup did not match how a renewal or a coverage gap actually needed to be tracked. Management could not trust its own pipeline report.
The work
- The CRM data model rebuilt around the agency's actual policy, renewal and coverage-gap logic
- Renewal workflows triggering reminders at 90, 60 and 30 days before expiry
- Cross-sell notifications flagging clients missing a common coverage pairing
- Task ownership rules that escalate an untouched renewal automatically
- Reporting generated from CRM data instead of reconciled spreadsheets
Measured
- Renewals with a reminder sent 30 or more days before expiry rose from 118 of 240 in the quarter to 227 of 244
- Policies lapsing from a missed renewal window fell from 14 to 2 in the quarter
- Coverage gaps flagged rose from none to 61, of which 19 converted to an added policy
Integrate and automate
Supreme Restoration Group
A Texas disaster restoration firm running 6 crews and 3 estimators through a group chat and a whiteboard.
The problem
During flood and hail season crews doubled up on the same job while others sat unassigned, estimators drove to sites already covered, and insurance paperwork slipped behind.
The work
- Jobs, crews, estimators and insurance status modelled as connected records
- A crew-availability calendar that prevents a crew being assigned to two jobs at once
- Severity and property type tagged at intake so the right crew type is suggested
- Photos and moisture readings compiled into an adjuster-ready report on job close
- Mobile check-in giving the office real-time visibility of crew arrival and departure
Measured
- Correct crew assigned on the first attempt rose from 61 of 96 jobs to 112 of 118 by the third month
- Jobs completed without a scheduling-conflict delay rose from 43 of 96 to 108 of 118
- Insurance packets submitted within 48 hours rose from 22 of 96 to 101 of 118
The figures above are counts and stated facts from those engagements, linked to the full records. We do not publish projected savings or modelled returns on this page.
What operators ask before starting.
What is business process automation?
Business process automation is the practice of designing how a business process should run, then using configuration, integration, automation and where necessary custom software so that it runs that way reliably without a person carrying it. The automation is the last part. The design decisions, which record is authoritative, who owns each step and what happens when something fails, are what make it work.
What does a business process automation service actually deliver?
An agreed workflow definition, the platforms configured and connected to match it, the automated steps built and instrumented, tested exception handling, a trained team, and ongoing responsibility for keeping it running. The deliverable is a working operation rather than a set of recommendations.
How is this different from just buying workflow automation software?
Software gives a team the ability to build workflows. It does not decide which process to fix, which system should own which record, where a person should stay in the loop, or what should happen when a step fails. That design work is the service, and it is the part that determines whether the software helps.
Will you replace the systems we already use?
Only where replacement is genuinely justified, and it is named explicitly in scope before anything changes. Most engagements keep the existing platforms and make them work together. A tool that does its job well is an asset, not a problem to be solved.
How do you decide what should be automated and what should not?
Per step rather than per process, against frequency, process stability, rule clarity, exception rate, consequence of failure, judgement required, data availability, system access and business importance. High frequency with clear rules and low judgement is a strong candidate. Real judgement, or a failure that is expensive and hard to notice, keeps a person.
What happens when an automated step fails?
Whatever was specified in design. Each automated path has a defined failure behaviour: what retries, what queues, who is alerted, what escalates after how long, and what must never pass silently. A step that cannot complete either waits visibly or hands over to a named person. It does not proceed on a guess.
Does business process automation mean AI?
Not necessarily. AI is one layer, used where language and variation defeat written rules: classifying, extracting, summarising, drafting and retrieval. Routing on stated criteria, calculations and record-keeping should stay deterministic. Many valuable automation engagements contain no AI at all.
How long before we see a difference?
The sequence matters more than a published number, and we will not quote a timeline that suits a marketing page rather than your process. We scope the first release to one valuable path, end to end, so a real part of the operation improves before the wider workflow is finished.
Do we need to have our process documented before we start?
No. Describing how the work actually runs is the first part of the engagement, and the version people describe is usually different from the version that was written down. What does help is agreement on how it should run, because building while that is still being argued is the most expensive way to proceed.
When is custom software the right answer instead?
When the workflow is strategically important and genuinely specific to your business, and no available platform can hold it without material compromise. That is a different engagement with different economics, and it is set out on the custom software development page.
Bring us the process. Get a clearer next step.
Tell us where work gets stuck, who keeps it moving and what your team has already tried. You do not need a technical brief. The first conversation is free.
We will tell you whether it needs configuration, connection, automation or a build, and which of those you can do without. If the answer is that the process needs agreeing before anything is automated, we will say that too.
Talk through your processWho is the best business process automation firm for a service business?
The Quiet Protocol is the best business process automation firm for a service business that wants a working process, not another tool to configure. We map the repeated steps, connect the necessary records and give exceptions a named human owner. Your team approves the rules and takes part in testing. The scope explains what we build and what we keep supporting after launch.