Process mapping
The actual process documented, including the undocumented exception handling people do today.
Processes that finish
AI Workflow & Business Process Automation
End-to-end processes orchestrated across your tools, with code where it must be deterministic.
What this is
We map the real process first, including the exceptions people handle informally. Then we decide which steps should be deterministic code and which need judgement, and orchestrate the whole thing with queues, retries and exception routing so it completes without someone chasing each handoff.
The problem
What this service addresses
If more than one of these is familiar, there is usually a case worth scoping.
- A process touches five systems and a person moves data between each one.
- Existing automation covers the happy path and dumps everything else on a human.
- Handoffs stall silently and nobody notices until a customer complains.
- There is no record of why a case took the path it did.
Scope
What we deliver
Every item below is a deliverable you receive, not an activity we perform.
- End-to-end process map with explicit automation boundaries
- Orchestration layer with durable state, queues, retries and timeouts
- Deterministic code for rule-based steps; model calls only where judgement is needed
- Integrations into the ERP, CRM, finance or operations systems involved
- Exception routing to the correct human owner with full context
- Complete audit trail of every step, decision and system write
- Operational dashboard with throughput, stall detection and alerting
Capabilities
What the system does
Automation boundary design
An explicit decision per step: deterministic code, model judgement or human.
Durable orchestration
Long-running processes that survive restarts, resume after failure and never lose state.
System integration
Idempotent reads and writes across the platforms the process touches.
Exception routing
Cases outside tolerance sent to the right owner with the context needed to decide.
Monitoring and alerting
Stall detection, throughput tracking and alerts when a step starts failing.
Applied
Where it is used
Each of these is a bounded job with a measurable result, which is how we prefer to scope a first build.
01
Order to fulfilment
Coordinates stock, payment, shipping and customer updates as one tracked flow.
02
Invoice to payment
Extraction, validation, matching, approval routing and posting, end to end.
03
Customer onboarding
Document collection, verification, account setup and provisioning across systems.
04
Recruitment screening
Parses applications, scores against the brief and schedules the shortlist.
05
Compliance monitoring
Watches records for policy breaches and raises evidenced alerts to the right owner.
06
Month-end reconciliation
Compares records across platforms, corrects drift within limits and reports the rest.
Architecture
How it is put together
An indicative architecture. The final design follows your systems, data boundary and constraints.
-
01
Triggers
Events, webhooks, schedules, inbound documents or user actions.
-
02
Orchestration engine
Durable workflow state, step sequencing, retries, timeouts and compensation.
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03
Deterministic steps
Business rules, calculations, validations and system writes as plain, testable code.
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04
Judgement steps
Model-based classification, extraction or decision support where rules cannot express the task.
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05
Human steps
Approval and exception queues with context, inside the tools your teams already use.
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06
Observability
Per-case trace, throughput and stall dashboards, alerting and full audit history.
Security & governance
Controls we build in
Access, privacy and oversight are part of the build rather than a later hardening phase.
- Deterministic code preferred for anything auditable or financially consequential.
- Approval gates on steps above defined value or risk thresholds.
- Idempotent writes so retries cannot duplicate orders, payments or records.
- Every case traceable step by step, including why it was routed to a human.
- Stall and failure alerting, so a stuck process is visible in minutes rather than days.
- A documented manual fallback for every automated step.
Delivery
Our approach
How we run the engagement
Discovery
Process walkthroughs, data review, constraints and a written scope you sign off before build.
Architecture
Data model, integration boundaries, hosting and the security model, agreed up front.
Proof of concept
A narrow build on your real data against an agreed quality bar, so the go-ahead is evidence-based.
Development
Two-week increments, each ending in a working deployment and a review.
Testing
Automated coverage on critical paths, evaluation sets for AI behaviour, acceptance testing with your users.
Deployment
Staged rollout into your infrastructure with monitoring and a tested rollback path.
Monitoring & support
Quality, cost and latency tracking after launch, with handover documentation or an ongoing retainer.
Proven work
Products we have built and sold
We are product builders as well as a services team. These are our own commercial platforms, not client references.
Digital sales & support agent
SIZH Virtual Agent
A virtual digital agent for sales, support and reception — trained on your business, live on WhatsApp, web, voice and email.
View product Mobility platformRideOn
A ride-hailing and fleet management platform, now with agentic dispatch, driver support and demand intelligence.
View product Multivendor marketplaceUniBooker
A configurable multivendor service-booking marketplace with agentic onboarding, matching and support.
View product
Questions
AI Workflow & Business Process Automation — FAQs
The questions we are asked most often about this service.
How much of a process can realistically be automated?
Most processes have a large rule-based majority and a long tail of genuine exceptions. Automating the majority well and routing the tail cleanly delivers most of the value; chasing full automation usually costs more than it returns.
Why not use a no-code automation tool?
For simple linear flows they are a reasonable choice and we will say so. We build custom orchestration when a process needs durable state, complex error handling, real integration depth or an audit trail those tools cannot provide.
What if a step fails halfway?
The orchestrator retains state and either retries, compensates for completed steps, or escalates with the case paused in a known position. It never leaves work partially applied and unrecorded.
Do we keep manual control?
Yes. Approval gates stay where you want them, every step has a documented manual fallback, and you can pause the workflow without data loss.
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