Solutions

Use cases we build, and how each one actually works.

Every solution below describes a business problem, the mechanism that addresses it and the outcome to expect. These are capability descriptions — none of them is presented as completed client work.

Retrieval and search

Enterprise Knowledge Assistant

A secure assistant that answers questions from your own documents, policies and internal data, with citations and access control that follows the user.

Customer operations

Customer Service Agent

An agent that answers common questions, retrieves account context, raises tickets and hands complex cases to a person with the history attached.

Platform operations

Cloud Operations Agent

An agent that triages alerts, gathers diagnostic context, proposes remediation and assists the responder — without acting on production unattended.

Document processing

Document Intelligence

Extract, classify, validate and summarise information from contracts, reports, forms and operational documents.

Engineering enablement

Developer and Engineering Copilot

An assistant grounded in your own systems that helps engineers understand services, troubleshoot behaviour and produce documentation.

Process automation

Intelligent Workflow Automation

Coordinate multi-step processes across APIs, databases and business tools, with human approval at the points that warrant it.

Product engineering

AI-Powered Product Development

Design and build AI-native features inside an existing product, or a new AI-enabled platform, with the delivery discipline of ordinary software.

Ways to start

Pick the smallest engagement that answers your question.

Most work begins with an assessment, a workshop or a review rather than a full build. Each produces something useful on its own, whether or not we continue.

Start here for AI

AI Opportunity and Readiness Assessment

Establish which AI use cases are worth pursuing, and what would have to be true for them to work.

Who it is for

Organisations with several AI ideas in circulation and no agreed basis for choosing between them.

You receive

  • Ranked use-case shortlist with the reasoning behind the order
  • Data and platform readiness findings
  • Recommended starting use case and why
  • Risk register covering security, cost and delivery

Typical next step

A Proof of Value on the highest-ranked use case, or an AWS Architecture Review if the platform is the constraint.

Discuss an AI Use Case

Start here for agents

Agentic Workflow Discovery Workshop

Identify which of your workflows genuinely suit an AI agent, and which are better served by ordinary automation.

Who it is for

Teams with repetitive, multi-step processes that cross several systems.

You receive

  • Mapped workflows with agent-suitable steps marked
  • Target agent architecture and permission model
  • Implementation roadmap in priority order
  • Honest assessment of which workflows should not use an agent

Typical next step

A Proof of Value implementing the highest-priority workflow end to end.

Explore AI Agents

Start here for cloud

AWS Architecture Review

Assess an existing AWS environment across security, reliability, performance, operations and cost.

Who it is for

Teams running production workloads on AWS who want an independent read on where the risk sits.

You receive

  • Findings ranked by risk, with owners and effort estimates
  • Quick wins separated from architectural work
  • Target architecture recommendations
  • Remediation roadmap

Typical next step

A remediation engagement on the highest-risk findings, or ongoing advisory support.

Request an Architecture Review

Prove it works

Proof of Value

Build a focused, measurable implementation that validates one high-value use case under production conditions.

Who it is for

Organisations that have chosen a use case and need evidence before committing to full implementation.

You receive

  • Working implementation deployed to your AWS account
  • Measured results against the agreed success criteria
  • Production readiness assessment
  • Recommendation on whether and how to proceed

Typical next step

Production Implementation, or a documented decision not to proceed — both are valid outcomes.

Book a Strategy Session

Build it properly

Production Implementation

Design, develop and deploy a complete production system with the operational model to run it.

Who it is for

Organisations ready to move a validated use case, platform or migration into production.

You receive

  • Production system running in your AWS account
  • Complete Infrastructure as Code and pipelines
  • Dashboards, alerts and incident runbooks
  • Architecture decision records and documentation
  • Knowledge transfer to the owning team

Typical next step

Advisory and Engineering Support, or independent operation by your team.

Book a Strategy Session

Ongoing

Advisory and Engineering Support

Continuing cloud, DevOps, AI and platform engineering expertise alongside your team.

Who it is for

Teams who need senior expertise available regularly without adding permanent headcount.

You receive

  • Regular review sessions with written findings
  • Engineering contributions to your codebase and infrastructure
  • Updated documentation and decision records
  • A capability plan for the team, not just a task list

Typical next step

Reviewed at an agreed interval and adjusted to what the team actually needs.

Book a Strategy Session

Timelines and pricing are scoped per engagement rather than published, because both depend on the state of the existing estate. A first call is enough to give you an honest range.

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