Agentic AI, architected for production
Chatbots answer questions. Agents get work done: they plan, call your systems, check their own output and hand over to a person when they should. Our founders and in-house AI engineers design and build agentic systems for any business — from a first use case to a governed, multi-agent platform.
Problems we solve
- An AI demo that impressed everyone but never made it to production
- Multi-step work — triage, research, data entry, follow-ups — still done by hand across five tools
- No clear answer to 'what happens when the agent gets it wrong?'
- LLM costs and latency nobody is measuring
- Teams experimenting with AI in silos, with no shared architecture or guardrails
Agentic AI Architecture & Development, done properly
Agentic architecture & strategy
Use-case selection, autonomy levels, build-vs-buy and a reference architecture your teams can reuse.
Single & multi-agent systems
Planner–executor and supervisor patterns, specialist agents and orchestration with LangGraph, the OpenAI Agents SDK or the Claude Agent SDK.
Tool use & system integration
Agents that act through your APIs, databases, ERP, CRM, email and WhatsApp — with Model Context Protocol (MCP) servers where they fit.
Memory & knowledge (RAG)
Retrieval over your documents and data, short- and long-term agent memory, and answers that cite their source.
Guardrails & human-in-the-loop
Permissions per tool, approval steps for money and customer-facing actions, input/output filtering and full audit trails.
Evaluation, observability & cost control
Test suites for agent behaviour, tracing of every step, and cost and latency tracked per task — so you know it works before you scale it.
Agentic features in your product
For SaaS companies and startups: agents built into your product, designed for multi-tenant scale.
Team enablement
Architecture reviews, pairing and playbooks so your own engineers can build the next agent.
Technology we use
- Claude Agent SDK
- OpenAI Agents SDK
- LangGraph
- LangChain
- Model Context Protocol (MCP)
- Anthropic Claude
- OpenAI
- Llama
- Vector search
- Python / FastAPI
- AWS
- Azure
Agentic AI
We architect AI agents that get work done
Our founders and in-house AI engineers design agentic systems for any business: agents that plan, use your tools, check their work and know when to hand over to a person.
Enquiry & lead agents
Qualify, answer and route every enquiry; draft follow-ups for a person to send.
Document-processing agents
Read invoices, POs and forms, validate against your records, flag what doesn't match.
Operations copilots
Agents that pull data from several systems and prepare reports, tasks and decisions.
Support & helpdesk agents
Classify tickets, find the answer in your knowledge base, escalate with context.
Channels
- Web & app
- Internal tools
- Scheduled jobs
Orchestration
- Planner / supervisor agent
- Specialist agents
- Task state & memory
Tools & knowledge
- Your APIs, ERP & CRM
- MCP servers
- RAG over documents
- Databases
Models
- Anthropic Claude
- OpenAI
- Llama & open models
Guardrails across every layer
- Permissions per tool
- Human approval steps
- Evaluations
- Tracing & audit log
- Cost per task
Start small. Measure. Then scale.
Every engagement is tied to a business result you can check — not a slide deck.
- 01
Discover
One business problem, written down with the KPI it should move.
- 02
Design
Fixed scope, timeline and price agreed before we write code.
- 03
Build
Weekly demos on real data. A human approves anything that touches customers or money.
- 04
Run & improve
Measure the result, then scale what works — support, AMC and new features.
Ways to engage
AI Opportunity Audit
For: Any SME or institution
1–2 sessions and a written report: top 3 AI use cases, expected impact, cost and data needed.
AI Pilot (4–6 weeks)
For: New or existing clients
One AI feature live on your data, with a before/after KPI.
Fixed-scope project
For: Startups and SMEs
An MVP or system built to an agreed scope, timeline and price.
Dedicated team
For: Growing and mid-size businesses
Vetted AI, full-stack and cloud engineers working as part of your team.
CTO-as-a-service
For: Founders and leadership teams
Part-time senior technology leadership for roadmap, architecture and vendors.
AMC & AI add-ons
For: Customers of our products
Annual maintenance, support and monthly AI features inside the products you already use.
Start from software that already runs
Our own products, ready to deploy and extend.
Questions we hear often
Have a process, document pile or dataset slowing your team down?
Book a free 30-minute consultation. We'll find where software and AI can help — and tell you honestly where they can't.