02 / Intelligence inside the work

Automate the repetitive. Surface the useful.

We build AI into operational systems rather than alongside them. The measure is not how advanced the model is — it is whether a task that used to take forty minutes now takes four, and whether the answer someone needs is available when they need it.

The problem

Where AI actually pays

The useful applications are unglamorous, specific, and measurable.

Manual today

  • Reading invoices and delivery notes to key the figures into a system
  • Answering the same twelve customer questions every day
  • Searching four systems and a shared drive to answer one question
  • Triaging and routing an inbox by hand
  • Summarising long documents before anyone can act on them
  • Reporting that requires someone to assemble it

Automated with review

  • Documents read, fields extracted, and exceptions escalated to a human
  • First-line answers handled automatically, with clean escalation
  • One place to ask, answered from your own approved sources
  • Enquiries classified and routed to the right team on arrival
  • Summaries and extracted actions generated on receipt
  • Narrative reporting drafted from live data for a human to approve
Services

What we build

01

Internal AI assistants

Assistants grounded in your own documents, policies and data, with permissions that respect who may see what.

02

Knowledge & search systems

Retrieval over your contracts, procedures and historical records, with citations back to the source document.

03

Document intelligence

Extraction and classification for invoices, applications, statements, contracts and forms.

04

Workflow automation

Rules and model-assisted routing that move work between systems and people without manual handling.

05

Customer support AI

Deflection of routine enquiries with a clear, logged path to a human when it matters.

06

Operational intelligence

Anomaly and exception surfacing so problems reach someone before a customer reports them.

07

Data pipelines

The unglamorous foundation — clean, current, well-modelled data, without which none of the above is reliable.

08

Integration with existing tools

AI capability delivered inside the systems people already work in, not as another tab to remember.

Process

01 / 1 week

Identify the task

We look for a specific, high-frequency task with a measurable time cost. Vague ambitions do not survive contact with production.

02 / 1 week

Establish the baseline

How long does it take now, how often does it happen, and what does an error currently cost? Without this there is no way to prove value.

03 / 2–3 weeks

Prototype and evaluate

A working prototype on your real data, measured against the baseline, with an honest read on accuracy and where it fails.

04 / Within build

Design the human checkpoint

We decide what the system may do unattended and what a person must approve. This is a business decision, not a technical one.

05 / 2–4 weeks

Integrate and deploy

Delivered into the existing workflow, with logging, cost controls and a manual fallback.

06 / Continuous

Monitor and tune

Model behaviour drifts and inputs change. We track accuracy and cost in production and adjust.

AI & Automation

Questions we are actually asked

Not on the configurations we deploy. We use enterprise API tiers where inputs are not used for training, and we document exactly which provider processes what. Where data may not leave your environment at all, we say so before the project starts rather than after.

Works with

Software & Systems

Business systems built around how your organisation actually works — replacing spreadsheets, email chains and disconnected tools with one connected platform.

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Cloud & Infrastructure

Cloud environments, identity, email and business continuity — designed for the workload, documented, and operated rather than merely installed.

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Web & Digital Experiences

Digital experience engineering — websites and web platforms built as products, engineered for performance, accessibility and search, not assembled from a template.

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Tell us what is not working.

A short conversation is usually enough to tell whether this is the right capability for your situation — and we will say so if it is not.