What we build

Software shaped around the work — not the other way round.

We build focused AI-enabled systems around the process, information and controls your organisation already depends on. That may be one intelligent feature, a client portal, an agent, a compliance workflow or a complete operational platform.

AI-enabled websites and client portals

Turn a website from a brochure into a useful front door. A client can upload a document or image, answer guided questions, receive a structured assessment, create a case or request the right next step.

  • Document, image and label analysis
  • Guided surveys, triage and eligibility checks
  • Client-specific reports and recommendations
  • Knowledge assistants grounded in approved sources
  • Secure portals, case views and status tracking
  • Human review and escalation where the result matters

Best for: consultancies, technical service firms, membership bodies, specialist suppliers and organisations that repeatedly assess similar enquiries.

Document and data intelligence

Most organisations do not have a clean data problem. They have a mixed-information problem: PDFs, emails, photographs, spreadsheets, O&M manuals, scanned records and incomplete databases. We build systems that turn that material into structured, searchable and usable records.

  • Extract key fields from documents, tables, messages and images
  • Classify records and assign confidence
  • Enrich incomplete records with approved reference data
  • Identify duplicates, inconsistencies, omissions and unusual values
  • Link related evidence across locations and systems
  • Prepare management views, reports and downstream actions

AI agents and workflow automation

An agent should do bounded work, not perform autonomy theatre. We design agents with a defined job, restricted access, clear inputs, review points and an audit history.

  • Research and prepare evidence for a human decision
  • Read an inbox and route or prioritise work
  • Draft communications from approved records and templates
  • Create tasks, update records and trigger follow-up actions
  • Monitor for changes, exceptions or missed deadlines
  • Coordinate multi-step workflows across existing systems

The agent can act automatically where the risk is low and the rule is clear. Where the consequence matters, it prepares the action and asks a person to approve it.

Compliance and evidence automation

We build systems that find, organise and monitor the evidence behind a compliance obligation. Instead of rebuilding the position at audit time, the system maintains it as the work happens.

  • Connect selected folders, inboxes and operational data sources
  • Classify evidence and associate it with the relevant requirement
  • Monitor freshness, completeness and remediation status
  • Surface gaps, exceptions and approaching deadlines
  • Send targeted alerts and escalation digests
  • Generate traceable reports and evidence packs
  • Record access, corrections, decisions and changes
Explore compliance systems →

Bespoke CRM, ERP and operational platforms

Sometimes the problem is not one task. It is that the operation is being held together by spreadsheets, disconnected SaaS products and knowledge in people's heads. We build focused platforms around the parts of the operation that standard software handles badly.

  • Specialist CRM and opportunity management
  • Case, project, asset and maintenance workflows
  • Survey, inspection and field-data systems
  • Operational dashboards and management reporting
  • Approvals, hand-offs, notifications and exception queues
  • API integrations with existing finance, email, document and business systems

We do not recommend replacing a mature ERP or CRM simply because a bespoke build is possible. The first question is whether a focused layer or integration solves the problem with less risk.

What a build includes

Workflow design

Process map, user roles, decisions, exceptions and success measures.

Data and integration design

Sources, ownership, access, quality, API constraints and fallback paths.

AI and control design

Model tasks, deterministic rules, confidence thresholds, approvals and monitoring.

Application build

Interface, backend, database, authentication, integrations, testing and deployment.

Documentation and handover

Setup, environment, operating notes, known limitations and roadmap.

Support and iteration

Monitoring, issue resolution, model or workflow changes and measured improvement.

Bring us one process that is slow, fragmented or difficult to evidence.

We will tell you where AI is useful, what should remain rule-based and what a practical first build would look like.

Discuss a workflow

No transformation programme required. Start with one process.