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Service · Transform & comply

The work your people re-key every day, done by the system.

We map the process as it actually runs, automate the steps that are rules, keep humans on the steps that are judgement, and measure the hours that come back.

Process Automation & Workflow OptimisationWhat we do
01Document-heavy intake
02Approvals and hand-offs
03Reconciliations and reporting
04AI-assisted decisions
How it runs
  1. Map and baseline
  2. Automate the first step
  3. Prove and widen
  4. Hand over
Why it exists

The deliverable is not a bot.

Every enterprise has processes that live between systems: a claim re-keyed from a portal into the core system, an approval chased by email, a reconciliation done in a spreadsheet nobody else can open. They are too important to ignore and too specific for off-the-shelf tools, so people absorb them — and the organisation pays for that time every month.

Automation projects fail when they automate the documented process instead of the real one, or when they try to automate judgement. We do neither. We sit with the people who do the work, map what actually happens including the workarounds, and separate the steps that are rules from the steps that need a decision. The rules go to software; the decisions stay with a person, who now gets them pre-sorted with everything they need.

It is a measured reduction in manual work, with every automated decision on a record your auditors can read.

What we automate

Four kinds of work that software should be doing.

Each engagement starts with one process and one number — hours per week, cycle time, error rate — and widens only once that number has moved.

01

Document-heavy intake

Invoices, claims, applications and orders arriving as PDFs, emails and portal forms. Extraction with validation against your master data, exceptions routed to a person, everything else straight into the system of record.

02

Approvals and hand-offs

Multi-step approvals with amount bands, delegations and escalations as configuration — on our Workflow & Procurement engine or inside the tools you already run. Nothing waits in a personal inbox.

03

Reconciliations and reporting

The spreadsheets that close the month: matching, variance checks and the reports built from them. Replaced by jobs that run on schedule, log what they matched, and raise only the lines that need a human.

04

AI-assisted decisions

Where a step needs reading and judgement — classification, triage, drafting a response — a model proposes and a person approves, with the evaluation set that proves it is accurate enough to trust. See AI-First Engineering.

In practice

How the work runs, day to day.

01

Map the process as it runs, not as it was documented.

The work starts with the operators, not the architects. We record every step, every system touched and every workaround, then score each step: rule or judgement, frequent or rare, costly or cheap. The automation plan comes out of that scorecard, and the first release targets the step with the best ratio of hours saved to risk.

  • Shadowing sessions with the people who do the work, not only their managers
  • A step-by-step map with the real exceptions, not the happy path
  • A baseline measured before anything is built, so the result can be proven
  1. 01Shadow
  2. 02Map
  3. 03Score
  4. 04Automate
  5. 05Measure

One process at a time, measured against its own baseline

Rollout

How the work runs.

01

Map and baseline

Working with the operators. Process map, exception list, hours-per-week baseline and the scorecard that picks the first target.

02

Automate the first step

The rule-based step goes to software, integrated with the systems it touches. Released to a small group first; exceptions still go to a person.

03

Prove and widen

Hours and error rate measured against the baseline. If the number moved, the next step on the scorecard follows. If not, we say so and adjust.

04

Hand over

Runbooks, monitoring and the configuration your team can change without us. The process owner can read every automated decision on the audit log.

Deliverables

What you keep.

  • A process map with the real exceptions and a measured baseline
  • Automations running in your environment, integrated with your systems
  • An audit log of every automated decision and every human override
  • Monitoring and alerts for failed runs, with a named owner
  • Configuration and runbooks your team can maintain
Usually runs with
Workflow & Procurementn8nPythonKafkaOCR / document AILLM classificationPostgreSQLOpenTelemetry
Fit

When this is the right call.

Right fit

Choose this when a team spends hours every week moving the same data between systems, chasing approvals or closing the month in spreadsheets — and someone owns the number that should go down.

Look elsewhere

Look elsewhere if the process itself is undecided, or if what you need is a new system of record rather than the glue between existing ones (see custom software).

FAQ

Frequently asked questions

Sometimes, where a system has no API and a scripted interface is the only door. Mostly it is integration, rules and queues — software that is cheaper to run and far less fragile than screen-scraping robots.
Frequent, rule-based, measurable and owned by someone who feels the cost: invoice intake, approval routing, reconciliations, order entry from documents. We score candidates with you at the start.
They stop re-keying and start handling the exceptions and decisions the system routes to them. Training for the process owner and the operators is agreed as part of the engagement.
The baseline is measured before anything is built — hours per week, cycle time, error rate — and the same measure is taken after each release. The result is a number, not an opinion.
Yes. Where you already run a workflow engine, ERP or ticketing system we build around it. Where you have nothing, Workflow & Procurement gives you a governed engine.

Which process costs you the most hours?

Tell us the process and who owns it. An engineer reads it and replies in writing with a view of what can be automated, what should stay with people, and what the first release would return.

✓ No pitch deck✓ Reply from an AI-native engineer✓ Written follow-up