Service
Business Automation
Remove manual effort from the workflows that carry your business.
Executive summary
What this practice is for.
Automation fails when it is treated as a scripting exercise. Bots break, exceptions pile up, and the savings quietly disappear into a support queue.
We automate processes the way an engineering organisation would: process mapping first, exception design second, then implementation against a rules engine and an audit trail.
The result is automation that survives audit, tolerates change and keeps producing savings two years later.
Business challenges
What we are usually called in to fix.
Copy-paste operations
Skilled people spend their week moving data between systems that were never integrated.
Approval bottlenecks
Work waits days in inboxes because routing and escalation live in someone's head.
Document overload
Invoices, forms and contracts arrive in every format and are keyed in by hand.
Fragile bots
Screen-scraping automations break on every UI change and nobody owns them.
Why traditional approaches fail
- Automating a broken process just makes the mess faster.
- UI-level bots are used where an API exists, creating permanent maintenance debt.
- Exceptions are treated as edge cases rather than the majority of real-world volume.
- No measurement baseline exists, so the business cannot prove the benefit.
Methodology
The SJAIN method.
Six stages, each with defined inputs, outputs and owners.
- Step 01
Map
Document the as-is process with timings, volumes, exceptions and cost per transaction.
- Step 02
Qualify
Score each candidate on volume, stability, rule clarity and integration route.
- Step 03
Redesign
Simplify before automating; eliminate steps that exist only for historic reasons.
- Step 04
Build
Implement with APIs first, RPA only where no API exists, and rules externalised.
- Step 05
Control
Add logging, reconciliation, exception queues and clear human ownership.
- Step 06
Scale
Roll out across sites and functions with a shared platform and reusable components.
Scope of services
What is included
- Process discovery and automation opportunity assessment
- Workflow and approval automation
- Document ingestion, extraction and validation
- Robotic process automation for legacy systems
- Business rules engine implementation
- Integration between ERP, CRM, HR and finance systems
- Exception handling and reconciliation design
- Benefit tracking dashboards
Deliverables
What you receive
- Process maps with baseline cost and cycle time
- Automation backlog scored by ROI and risk
- Production automations with monitoring
- Exception and audit reporting
- Operating model and ownership handbook
Architecture overview
How it is built.
- 01
Event and schedule triggers feeding a central orchestration layer.
- 02
Connector layer using APIs where available and controlled RPA where not.
- 03
Externalised business rules so policy changes do not require code changes.
- 04
Exception queues with SLA timers and human resolution interfaces.
- 05
Reconciliation and audit store proving every automated action.
Implementation process
Weeks 1–3
Process discovery, baselining and automation backlog.
Weeks 4–8
First automations live with monitoring and exception handling.
Weeks 9–16
Scale across the function; integrate reporting into finance review.
Security & compliance
- Least-privilege service accounts per automation
- Segregation of duties preserved in automated approvals
- Immutable audit log of every automated transaction
- Secrets management and credential rotation
Benefits & ROI
The numbers this practice moves.
0%+
Reduction in manual processing time
0%
Straight-through processing on stable flows
<0 mo
Typical payback across an automation programme
Capabilities in this practice
Industries served
Related technologies
Related AI solutions
Frequently asked questions
API first, always. RPA is a deliberate fallback for systems with no integration surface, and we treat it as temporary technical debt with a retirement plan.
Exception design comes before happy-path build. Every automation ships with a queue, an owner and an SLA.
Related case study
Private AI for credit operations
Six times faster credit file review with a full audit trail
Read the case studyDownloadable guide
Business Automation capability guide
A practical guide covering methodology, architecture patterns, deliverables and typical commercial models.
Not sure where this practice
fits your roadmap?
We start with a discovery workshop: current state, constraints, the highest-value first slice and what it costs to prove it.