AI & Data
Intelligent automation across finance, operations and service
We combine document AI, rules engines and workflow orchestration to remove manual handling from invoice processing, order entry, compliance checks and service triage.
80%
Straight-through processing on document workflows
4x
Faster approval cycles after orchestration
99%
Field-level extraction accuracy after tuning
ROI
Business case validated before full rollout
Definition
What ai automation means here
AI automation applies machine learning to the unstructured parts of a process — reading documents, classifying requests, extracting data — and connects them to deterministic workflow steps, so an end-to-end process runs without manual re-keying.
Capabilities
What is included
Each capability is scoped, estimated and delivered against agreed acceptance criteria.
Process mining & mapping
Quantify volume, handling time and exception rates before automating anything.
Document intelligence
Invoices, POs, LPOs, delivery notes, contracts and multilingual scans including Arabic.
Workflow orchestration
Durable, retryable workflows with SLA timers and exception queues.
System integration
Odoo, SAP, Tally, Dynamics, custom ERPs, banking portals and government gateways.
Exception handling
Human review consoles with side-by-side source documents and confidence scores.
Benefit tracking
Before/after dashboards on cycle time, cost per transaction and error rate.
Deliverables
What you receive
- Process baseline with cost and cycle-time metrics
- Automation candidate scorecard
- Extraction models tuned to your document set
- Orchestrated workflows with exception queues
- Reviewer console and audit trail
- Benefits dashboard and quarterly review pack
Engagement models
How we can work together
Fixed-scope project
Defined outcome, milestone billing and a signed delivery plan. Best when requirements are stable and the business case is approved.
Dedicated squad
A cross-functional pod (architect, engineers, QA, delivery lead) reserved monthly for a rolling roadmap with sprint-level reporting.
Managed service / AMC
SLA-backed run and evolve model covering monitoring, incident response, security patching and a monthly enhancement allowance.
Implementation roadmap
How the engagement runs
Indicative timeline for a single-entity engagement; multi-country programmes are phased.
- 01
Baseline · Week 1-2
Measure the current process end to end and agree target metrics.
- 02
Prototype · Week 3-4
Extraction and classification on a real historical sample.
- 03
Orchestrate · Week 5-8
Wire workflows, integrations, SLA timers and exception routing.
- 04
Parallel run · Week 9-10
Run beside the manual process and reconcile differences.
- 05
Scale · Ongoing
Extend to adjacent document types, entities and geographies.
Comparison
Manual vs RPA vs AI automation
| Dimension | Manual | Classic RPA | AI automation |
|---|---|---|---|
| Unstructured documents | Slow, error prone | Template-bound | Handles variation |
| Breaks on layout change | n/a | Frequently | Rarely |
| Cost at 10k docs/month | High | Medium | Low |
| Audit trail | Weak | Good | Strong with confidence scores |
Advantages
- Removes re-keying and the errors that follow it
- Exceptions are surfaced, not silently buffered
- Benefits measured against a real pre-automation baseline
- Works with the ERP and finance systems you already run
Trade-offs to plan for
- Requires a representative historical document sample to tune well
- Highly variable, low-volume processes rarely repay the effort
- Process redesign is often needed before automation pays off
Decision guide
Is this the right service for you?
Match your situation to the recommended starting point.
| If this sounds like you | We recommend |
|---|---|
| High volume, stable layout documents | Document intelligence plus straight-through processing. |
| Many systems, many handoffs | Lead with workflow orchestration, add AI extraction after. |
| Judgement-heavy, conversational tasks | Use AI agents instead of deterministic automation. |
Industries
Where we apply ai automation
FAQ
AI Automation questions, answered
Related services
Often delivered together
AI Agents
We build agents that do more than chat: they plan, call your APIs, update records, and hand off to humans with a full audit trail of every step and tool call.
ERP Consulting
Before you commit budget to an ERP, or after a programme has stalled, we provide independent assessment, selection and governance grounded in delivery experience.
Odoo ERP
End-to-end Odoo delivery: process fit-gap, configuration, custom modules, data migration, VAT and e-invoicing compliance, training and long-term support.
Ready to scope your ai automation engagement?
Share your context and we will come back with an approach, timeline and indicative investment — under NDA.