AI-driven workflows
Agents that read, decide and act across your systems, with durable execution, human approvals and full tracing.
- Document understanding
- MCP tool integrations
- Human-in-the-loop approvals
- Evaluation and monitoring
Consulting, development and design from a team that runs AI agents in its own products, and brings those patterns to yours.
What do you need?
Agents that read documents, call your systems through MCP tools and hand off to people, built on durable workflows with full tracing.
Pilot in 4 weeksYou get
How it unfolds
Week 1
Map the process, the tools and the approvals
Weeks 2–4
A pilot agent on real cases, with human sign-off
Week 6
In production, with every step traced
Architecture, cloud, modernization, engineering practice and AI adoption, from architects who have made these calls for years. We start from your business and your constraints, not from a favourite technology.
Where agents pay off, which processes to automate first and how to run a pilot in production with guardrails.
Target architectures, technology choices and roadmaps that your team can actually deliver and operate.
Azure, Cloudflare or Vercel: the right platform per workload, landing zones, security baselines and spend that stays predictable.
An honest read on ageing systems: what to keep, what to refactor and what to replace, in which order and at what risk.
Independent reviews of codebases, architecture and teams for investors, acquisitions and major vendor decisions.
Code review, testing, CI/CD and observability habits that make teams faster and releases boring.
AI adoption track
One of the tools from our AI discovery workshops. Drag the example processes around and watch the recommendation change.
Most companies do not need a rewrite. They need the systems they depend on made safe to change. We modernize legacy platforms and paper-based processes step by step, without stopping the business that relies on them.
.NET Framework, WebForms, AngularJS and Knockout applications moved to supported, maintainable stacks.
On-premises servers moved to Azure, Cloudflare or Vercel, with security, cost controls and monitoring from day one.
Paper forms, spreadsheets and email chains turned into digital workflows with roles, approvals and an audit trail.
Scattered data consolidated, cleaned and governed, so reporting is trustworthy and AI has something solid to work with.
Brittle file transfers and screen scraping replaced by documented APIs and events your partners can rely on.
Training, documentation and hands-on support, so teams adopt the new way of working instead of working around it.
We use the strangler-fig pattern: new capabilities grow around the old system behind a stable facade, and legacy parts are retired only once traffic has safely moved.
Assess
Inventory systems, integrations and data flows. Map business risk, technical debt and quick wins.
Stabilize
Put tests, monitoring and automated deployment around the legacy system before touching it.
Strangle
Build new capabilities beside the old ones behind a stable facade, moving traffic one slice at a time.
Retire
Switch off legacy parts once nothing depends on them, and hand over a platform your team can evolve.
Drag the divider, or focus it and use the arrow keys.
Custom software across web, mobile, back-office and AI, in .NET or TypeScript, on Azure, Cloudflare or Vercel. Senior people, small teams, weekly demos.
Agents that read, decide and act across your systems, with durable execution, human approvals and full tracing.
Static-first sites and full web applications that stay fast as they grow.
Cross-platform apps with native feel, offline support and over-the-air updates.
Internal tools with roles, audit trails, fast tables and real workflows.
Pipelines, previews, infrastructure as code and observability on three clouds.
Seven reference architectures we deploy and adapt. Each is a starting point, not a template. Pick one, trace a request through it, and click any component to see why it is there.
Fluent across .NET and TypeScript, three clouds and the frameworks in between. That breadth is how we pick the right tool for your problem rather than the familiar one.
Every technology our team ships to production, grouped by the job it does.
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Brand, product and design systems in Figma or pen.dev, built on the same tokens your engineers use. Change the tokens below and watch the interface follow.
A working canvas: drag layers, snap to guides, press R or T and click the frame to add shapes.
Change the system once and every screen follows, in the design file and in production.
Accent
Radius
14pxDensity
Theme
Get early access and help shape the roadmap.
:root { --color-accent: #4677F5; --radius-md: 14px; --space-unit: 6px; --color-surface: #141210; --color-text: #EDF0F5;}
Same tokens in the design file and in the code. No hand-off drift.
Every engagement follows the same rhythm: discover, blueprint, build, launch and evolve. What changes is how much of the team you need, and for how long.
We blueprint first, agree scope and price, then build in weekly increments with a demo every week and a preview link for every change.
A small senior team that works as part of yours: same rituals, same backlog, with the flexibility to change direction as you learn.
Architecture reviews, AI strategy and hands-on pairing for your engineers, so the critical decisions get a second pair of eyes.
A short call with an engineer, a written first take within days, and no obligation. Bring the messy version; that is where we start.