AGENTIC SOFTWARE DEVELOPMENT CONSULTANCY
Build with agents. Upskill your team. Change how software gets delivered.
Equinilet works alongside teams to design production AI agents, apply agentic workflows to real engineering problems and build the capability to keep improving them.
01
Agent-first delivery
Use agents throughout analysis, implementation, testing and operations.
02
Team adoption
Pair on real work so your team learns the patterns, limits and review practices.
03
Production discipline
Evaluate behaviour, constrain tools and keep people in consequential decisions.
STRATEGY + IMPLEMENTATION
From agentic opportunity to an operating capability.
We keep software strategy grounded in business outcomes, then implement with agents at the centre of delivery and adoption.
Agentic software delivery
Production agents built with explicit workflows, tool boundaries, evaluation and observability.
Legacy modernisation
Agent-assisted codebase analysis, migration planning, incremental implementation and test backfilling.
Workflow automation
Agentic operations such as customer support ticket triage, enrichment, routing and escalation.
LANGGRAPH + LANGCHAIN
Agent systems with explicit state and controllable workflows.
We use the LangGraph and LangChain ecosystem where it fits: composing tools and models, persisting state, introducing human checkpoints and tracing behaviour across long-running workflows.
ADOPTION MODEL
Build together, then transfer ownership
Architecture, implementation and upskilling happen in the same engagement, using your systems and your team’s real constraints.
PRACTICAL USE CASES
Apply agents to work that benefits from context, iteration and judgement.
Migrate legacy systems
Understand old code faster, map dependencies and execute controlled migration steps.
Backfill automated tests
Generate, execute and review candidate tests across under-covered behaviour.
Triage support tickets
Classify and enrich cases, suggest actions and route uncertain issues to people.
Ready to make agentic development practical?
Start with one real workflow and build the capability around it.