Customer operations
Support copilots, ticket triage and summarisation, knowledge assistants over policies and manuals.
Service 06 — Digital Transformation & AI
Complete digital transformation, with AI where it earns its place.
Modernise operations end-to-end — processes, platforms, data and people — and put generative and predictive AI to work on the workflows that move your numbers, with the security and governance to run it in production.
Why it matters
Transformation isn't a tool purchase. It's a redesign of how work gets done.
Bolting a chatbot onto a broken process just makes the broken process faster. We start with the business outcome, redesign the workflow, modernise the systems and data underneath it, then apply AI — copilots, agents, prediction, automation — where it measurably helps. Everything ships with evaluation, guardrails and monitoring, so it survives past the demo.
Six pillars
What a transformation actually covers.
Every programme is assessed and planned across all six — because a gap in any one of them is where initiatives stall.
- 01
Strategy & operating model
Value-stream mapping, target operating model, initiative portfolio and business cases
- 02
Process & automation
Workflow redesign, RPA and API-driven automation, document processing, system integration
- 03
Generative & agentic AI
Copilots, retrieval-augmented assistants and agent workflows with evaluation suites and guardrails
- 04
Predictive AI & analytics
Forecasting, anomaly detection, recommendation and risk scoring with MLOps for retraining
- 05
Data platform
Warehouse / lakehouse, streaming, data quality, governance and the semantic layer AI can trust
- 06
People & change
Enablement, adoption metrics, communications and the rhythm that makes change stick
AI use-case portfolio
Where AI pays for itself.
Finance & back office
Invoice and document extraction, reconciliation, anomaly detection, close-process automation.
Sales & marketing
Lead scoring, proposal drafting, personalised content with brand guardrails.
Operations & supply chain
Demand forecasting, predictive maintenance, routing and inventory optimisation.
Engineering & IT
Code assistants, incident summarisation, runbook agents, log and alert triage.
Risk & compliance
Policy checking, KYC/AML document review, audit evidence assembly.
What we deliver
Transformation capabilities.
Transformation strategy & roadmap
Operating-model assessment, value-stream mapping, prioritised initiative roadmap and the business case for each phase.
Process automation
Workflow redesign, RPA and API-driven automation, document processing and integration across ERP, CRM and legacy systems.
Generative AI & agents
Copilots, retrieval-augmented assistants over your own knowledge, and agentic workflows using Claude, GPT or open models — with evaluation suites and guardrails.
Predictive AI & analytics
Forecasting, anomaly detection, recommendation and risk scoring built on clean data with MLOps for retraining and monitoring.
Data platform modernisation
Warehouses and lakehouses, streaming, data quality, governance and the semantic layer that makes AI trustworthy.
Legacy modernisation & change
Incremental replacement of legacy systems, cloud adoption, and the training and adoption metrics that make change stick.
Prioritisation
How we score candidate use cases.
Every idea is scored on the same four axes before it gets budget. Illustrative example below.
| Business value | Data readiness | Feasibility | Risk (lower = better) | |
|---|---|---|---|---|
| Support copilot over knowledge base | ||||
| Invoice extraction & matching | ||||
| Demand forecasting | ||||
| Autonomous procurement agent | ||||
| Marketing content generation |
How it runs
Assess, design, pilot, scale, embed.
- 01
Assess
Where value leaks today — processes, systems, data and skills — with a quantified opportunity map.
3–4 wks - 02
Design
Target operating model, architecture and a use-case portfolio ranked by value, feasibility and risk.
3–4 wks - 03
Pilot
Two to three high-value use cases delivered in weeks with real users, real data and measured results.
6–10 wks - 04
Scale
Platform, data foundations, governance and security so pilots become production capabilities.
quarters - 05
Embed
Enablement, adoption tracking and a continuous improvement rhythm.
ongoing
Operations
Start where the numbers are.
We instrument the process before automating it, so the baseline is real and the improvement is provable to a CFO.
- Process mining on real logs
- Baseline cycle time and cost
- Value tracked per initiative
Automation
Humans in the loop, by design.
Agents and automations get confidence thresholds, review queues and audit trails — so speed never comes at the cost of control.
- Confidence-based routing
- Reviewer queues and audit logs
- Kill switches and rollback
Adoption
What we track.
- Process cycle time−65%
- Manual touches per case−80%
- Active weekly users of new tools85%
- AI answers accepted without edit78%
BeforeAfter
Illustrative programme dashboard — every initiative reports on the same four numbers.
Governance
Guardrails that ship with every AI feature.
- Evaluation suite with golden test sets
- Prompt and model version control
- PII detection and redaction
- Access control and audit logging
- Human review thresholds
- Cost and latency budgets
- Model fallback and rollback
- Usage and quality monitoring
Industries
Where we've applied it.
Financial services
Document-heavy operations, risk scoring, compliance workflows.
Healthcare
Patient-flow forecasting, clinical documentation support, records modernisation.
Logistics
Routing, demand forecasting, exception handling.
Manufacturing
Predictive maintenance, quality inspection, planning.
SaaS & technology
Product copilots, support automation, analytics.
Public sector
Citizen-service automation, case management, records.
FAQ
Transformation & AI questions.
- 01
Where should we start with AI?
With a use-case portfolio. We map candidate workflows, score them on value, data readiness and risk, and pilot the top two or three before investing in platform.
- 02
How do you keep our data private?
Models run inside your cloud tenancy or via enterprise APIs with no training on your data, with access controls, audit logging and retention policies designed in.
- 03
Can you help with adoption, not just technology?
Yes. Change management, training and adoption metrics are part of every transformation roadmap we deliver.
- 04
Which models do you use?
Whichever fits the task, cost and data constraints — Claude, GPT, Gemini or open-weight models — behind an abstraction so you can switch.
- 05
How do you measure ROI?
A baseline before the pilot, a value tracker per initiative and a programme dashboard reviewed with your sponsors.
Let's build
Ready to map your opportunities?
A four-week assessment gives you a quantified opportunity map and a ranked use-case portfolio — with or without us for the next step.
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