Services · 06
Migrate what runs the business, one reviewable slice at a time.
For engineering leaders with applications that cannot take AI, or cannot be changed safely. We recover what the code knows, migrate it with parity checks and rollback, and add intelligence to what you keep.
An application and dependency map. A migration plan you can read before it runs, with per-file traceability. Slices delivered with tests and parity evidence. A modernised platform ready for AI features.
CodeFlo: persistent, git-backed engineering sessions that produce the plan and the changes. Business-rule recovery from legacy code. Test generation to protect behaviour. Framework migrations (Java Struts to Spring Boot, legacy .NET to modern .NET, monolith to services). Payment and transactional migrations with zero-downtime cutovers.
60 to 80% lower migration cost on a Java Struts to Spring Boot migration for a global automotive OEM (company record, name withheld). A UPI switch migration for a payments company (capability).
Modernization assessment. Estate map, options and trade-offs, one representative slice migrated with tests.
Most engagements continue as a dedicated team, embedded with yours, on time and materials.Assess an applicationHow we propose
What you receive before you commit.
Every first step produces the documents an enterprise needs to decide, in a form your architecture, security and procurement teams can review without a meeting.
Business requirements document
the workflow, the baseline, the owner, the measure of success
Approach and architecture
systems touched, data flows, model choices, approval points, deployment topology
Technical proposal
scope, phases, team, assumptions, what is in and what is out
Security controls
identity, perimeter, egress, logging, the questionnaire answered
Infrastructure bill of materials and TCO
what it runs on, what it costs to run
Model cost estimate
tokens, runs, ceilings, and the levers that change them
Delivery plan
sprints, milestones, decisions, and the date you see the first working slice
Every first step produces these, in a form your architecture, security and procurement teams can review without a meeting.
Start with one question →Questions buyers ask
Before you call.
Plain answers to what buyers ask first.
- Will AI rewrite our code unsupervised?
- No. It proposes; engineers review; tests decide.
- What if a slice fails parity?
- It rolls back; the old path keeps running.
- Can we do this without stopping feature work?
- Yes; slices are sized to ship alongside the roadmap.
The other five services.
AI product engineering
AI-native products and AI features, from discovery to scale. Product thinking, experience design and full-stack delivery with the model as one component.
First step · AI product opportunity sprint
Product engineering
New products and platforms on web, mobile and cloud: .NET, Python, Node, React, native mobile. Eighteen years of shipping, now with AI in every team's toolchain.
First step · Discovery and architecture sprint
Enterprise AI engineering
Agents, workflows, control towers and knowledge systems integrated with ERP, documents and operational data, governed and traceable.
First step · Production readiness assessment
Data and knowledge engineering for AI
Pipelines, ontologies and knowledge graphs, permission-aware retrieval and edge deployment, so the enterprise's own data can answer questions and drive agents.
First step · Data readiness review
AI production engineering
Evaluation sets, LLMOps, security controls, observability and cost ceilings: the discipline that keeps an AI system trustworthy after launch.
First step · Architecture reviewWhat's next
What needs to work in your world?
A product, a workflow, a knowledge base, a platform that needs to change. Bring the problem. We will work through the engineering and tell you plainly whether it is worth building.
