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AI Integration and Process Automation

Business Workflow Automation

Connecting the steps that currently run on email, spreadsheets and somebody remembering — with retries, idempotency and enough visibility that a stalled case is found by monitoring rather than by the customer chasing it.

6 to 12 weeks
Typical build
Fixed scope
Commercial model
Idempotent
By design

Most business processes are held together by people. A form arrives, someone forwards it, someone else updates a system, a third person chases the approval. Nothing is broken exactly, and nobody can say how many cases are currently stuck, because there is no such thing as a case — only a chain of messages.

In one paragraph

Business workflow automation orchestrates a multi-step process across systems and people: triggering on an event, routing work, calling systems, handling approvals, retrying failures and making the state of every case visible from start to finish.

What goes wrong in workflows, and the design answer

FailureTypical causeHow it is designed out
Cases stall silentlyNo case identity, no state, nobody watchingExplicit state per case with age monitoring
Duplicate actionsA retry re-runs a step that already succeededIdempotent steps keyed on the case
A system is down mid-processNo retry strategy; the case is simply lostRetries with backoff, then a dead-letter queue with an owner
Approvals sit indefinitelyNo timeout, no escalation pathDeadlines with defined escalation and delegation
Nobody knows where a case isState lives in inboxesOne view of every case and its history
Partial completion after failureSteps not designed to be undoneCompensating actions for anything already committed

The last row matters most in anything financial. Where a workflow has already moved money, created a record or sent a notification, recovery is not a retry — it is a defined compensating action, and it has to be designed rather than improvised during an incident.

How we build workflows

Give every case an identity and a state

A case that exists as a row with a state, a history and an age can be monitored, reported on and recovered. A case that exists as a thread of emails cannot, and that single change accounts for much of the benefit of these projects.

Make every step idempotent

Running a step twice must not create two invoices or send two notifications. This is what makes retries safe, and it turns recovery from a judgement call into an automatic behaviour.

Treat people as first-class steps

Approvals, reviews and exception handling are part of the workflow, with deadlines, escalation, delegation and out-of-office behaviour designed rather than left to chance. Workflows that assume the approver is always available stall in their first holiday period.

Integrate through APIs where they exist

Supported interfaces first; screen-level automation only where no interface exists and the value is clear, with the maintenance obligation stated openly rather than discovered later.

Add AI only where the workflow needs judgement

Most steps in most workflows are deterministic and should stay that way, because deterministic steps are cheaper, faster and easier to reason about. Where a step requires reading, classifying or drafting, that is where models belong — see intelligent process automation.

Instrument the process, not just the technology

Cases started and completed, cycle time, where cases wait, exception rates and the age of the oldest open case. Technical uptime tells you the workflow engine is running; it does not tell you that forty cases have been waiting on one approver since Thursday.

Worth knowing

Remove steps before automating them

Mapping a process routinely surfaces approvals nobody can justify, duplicate data entry created by a system that has since been replaced, and checks that were added after an incident in 2018. Deleting a step is faster and more reliable than automating it, and it is the cheapest improvement available.

Building versus buying the platform

Workflow platforms and integration tools are mature, and building orchestration from scratch is rarely the right answer. The choice is guided by:

  • What your organisation already runs. A capable platform your team can operate beats a better one they cannot.
  • How much logic sits inside the platform. Heavy business logic in a low-code tool becomes difficult to test, version and hand over.
  • Volume and cost model. Per-task pricing that is trivial at pilot scale can be significant at production volume, and it should be modelled beforehand.
  • Who will change it. A workflow business users can adjust is worth real technical compromise; one only we can change is a dependency.
Process

How the engagement runs

The process is mapped as it runs, and steps that should be deleted are named before anything is built.

Weeks 1 to 2

Mapping and measurement

Real process mapped with the people doing it; volumes, waiting time and steps to remove identified.

Week 3

Design

Case model, states, integrations, human steps with deadlines, retry and compensation strategy agreed.

Weeks 4 to 8

Build

Orchestration, system integrations, approval steps and case visibility implemented and tested.

Weeks 9 to 10

Failure testing

Systems taken down deliberately, retries and compensating actions verified, dead-letter handling proven.

Weeks 11 to 12

Rollout and handover

Staged by case type, with runbooks, monitoring and training for the owning team.

Deliverables

What you receive

A process where every case has a state, an owner and an age, and failures recover rather than vanish.

01

Process map and measurement

The process as it runs, with volumes, waiting points and steps recommended for removal.

02

Deployed workflow

Orchestration across systems with idempotent steps, retries and compensating actions.

03

Human steps

Approvals and reviews with deadlines, escalation, delegation and absence handling.

04

Case visibility

One view of every case, its state, history and age, usable by the business owner.

05

Monitoring

Cycle time, waiting points, exception rates and oldest open case, with alerting.

06

Runbook

Failure modes, recovery procedures, dead-letter handling and how to change the workflow.

Fit check

Is this the right engagement?

Worth being direct. Business Workflow Automation is the wrong spend in some situations, and those are listed rather than buried.

Good fit if

  • A process spans several systems and is currently held together by email.
  • Nobody can say how many cases are in progress or how long they have been waiting.
  • Cases stall and are found only when someone chases.
  • The same data is entered into more than one system by hand.
  • Volume or audit requirements make the current approach unsustainable.

Choose something else if

  • The process needs judgement on unstructured input. See intelligent process automation.
  • The process is about to be redesigned or the systems replaced.
  • It runs inside one system that already offers workflow natively.
  • No process owner exists, which means nobody can decide what the workflow should do.
Questions

Frequently asked questions

Marked up with FAQPage schema so these answers can surface directly in search results and inside AI assistant responses.

What is business workflow automation?

Orchestrating a multi-step process across systems and people: triggering on an event, routing work, calling systems, handling approvals, retrying failures and making every case's state visible. The point is not speed alone — it is that a case becomes a thing with an identity and an age rather than a thread of emails.

How is this different from RPA?

RPA typically drives system interfaces as a person would, which is brittle and best reserved for systems with no API. Workflow automation orchestrates through supported interfaces and owns the state of the process. Where existing robots are the starting point, see RPA modernisation with AI.

Do we need AI in the workflow?

Usually only in specific steps. Most workflow steps are deterministic and should remain so, because deterministic steps are cheaper, faster and easier to reason about. Models belong where a step requires reading, classifying or drafting — adding them elsewhere buys cost and unpredictability for nothing.

What happens when a system we integrate with goes down?

The workflow retries with backoff, then places the case in a dead-letter queue with an owner rather than losing it. Where steps have already committed something — money moved, a record created — recovery uses a defined compensating action rather than a retry, and that is designed in advance and tested before go-live.

Can our business team change the workflow afterwards?

That is a design goal and it influences the platform choice, because a workflow only we can change is a dependency you did not ask for. Where the logic is genuinely complex, some of it will need engineering, and we are explicit about which parts are business-editable and which are not.

Is this the right engagement?

Tell us what you are trying to build. If a different service fits better, or if you do not need us at all, we will say so.