AI Agent That Handles Real Work Autonomously
Stop wondering if AI agents will work for your business. Our PoC Sprint delivers a production-grade AI agent tested against your actual data, with measurable benchmarks and a clear recommendation, all in 4 weeks, at a fixed price.
Most AI agent demos look impressive. But deployments quietly fail.
67% of enterprise AI pilots never reach production not because AI doesn't work, but because the pilot was never designed to answer the right question: will this agent work in my environment, with my data?
Demos Trained on Perfect Data
No Definition of "Working"
In-House Discovery is Expensive
Most AI agent demos look impressive. But deployments quietly fail.
The sprint solve this: Before we write a line of code, we define exactly what 'working' means - accuracy targets, latency limits, cost-per-query. You sign off on the criteria in week 1. At week 4, you get a data-backed Go / Iterate / Stop recommendation you can act on with full confidence.
What kind of agent does your business need?
We've validated AI agent architectures across six core business categories. Most use cases map to one of these or a combination.
Knowledge & Research Agents
Customer Support Agents
Sales & Lead Intelligence Agents
Operations & Process Agents
Data Analysis & Reporting Agents
Multi-Agent Orchestration
What kind of agent does your business need?
Agent Feasibility Scorer
Answer 5 quick questions about your use case. We'll show you a readiness score and tell you exactly whether you're sprint-ready or what needs to happen first.
Question 1 of 5
1. How clear is your use case and desired outcome?
What your score means
Your use case is clear, data is accessible, and the Sprint will deliver a definitive answer. We can start within 2 weeks of scoping.
A 1-week pre-sprint scoping session gets you there. We handle this as part of the engagement — no extra charge.
A strategy session to clarify the use case and data readiness will make the Sprint far more predictable and successful.
Evidence-based development. Not faith-based deployment.
Every phase has a named deliverable. You approve the success criteria before we write a line of code. No surprises at the end.
Discovery & Criteria
Define scope, success metrics, and failure modes before a single line of code is written. You sign off on "what working means."
Build & Integrate
Core agent built, connected to your data sources and tools, tested iteratively against real inputs in a staging environment.
Evaluate & Benchmark
Adversarial testing, edge-case analysis, accuracy benchmarking, and cost-per-query analysis against the pre-agreed criteria from week 1.
Handover & Decision
Full readout with Go / Iterate / Stop recommendation. Code transferred. Production roadmap and Phase 2 estimate delivered.
Exactly what the Sprint includes and what it doesn't
Read this before you book. Fixed price means complete clarity on scope before you sign.
1 agent scope - single, well-defined use case
LangGraph reasoning loop with tool use & memory
RAG pipeline over your documents / knowledge base
Up to 3 API / tool integrations (your existing systems)
Model-agnostic - OpenAI, Anthropic Claude, or open-source
Evaluation harness with benchmark test suite
Go / Iterate / Stop recommendation with evidence
Full source code + prompts - 100% ownership, your GitHub
Production architecture blueprint for Phase 2
Phase 2 cost estimate included with final readout
14 days post-sprint support (30 days on Scale)
Multi-agent orchestration (2+ coordinated agents)
Production deployment with uptime SLA guarantees
Custom frontend / chat UI beyond basic test interface
Enterprise observability stack (Langfuse, Arize AI)
SOC 2 / enterprise SSO / RBAC implementation
Fine-tuning on proprietary datasets
More than 3 tool integrations per sprint
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Choose your validation depth
Pick the level of proof you need before investing in a full AI agent rollout.
Validate
$ 5,000
Test feasibility using synthetic/sandbox data before connecting your real systems.
- 1 Agent Scope on Primary use case
- Tested against small dataset / anonymised data
- 7 days post delivery support
Build
$ 8,000
Production-ready AI agents tailored to your workflows, systems, and business operations.
- Everything in Validate
- Guardrails
- Tool Integration
- RAG knowledge graph on your documents
- 14 days post delivery support
Scale
$ 12,000
Multi-agent, multi-integration scenarios. Complex orchestration at enterprise-grade.
- Everything in Build
- Multi Agent Orchestration (2-3 specialist agents)
- Cost-per-query projections
- 30 days post delivery support
Stop guessing. Get a verified answer in 4 weeks.
The Sprint costs less than 2 weeks of an AI engineer's salary and delivers a code-backed decision you can take to any stakeholder, investor, or board.
Related Services to Explore
Depending on where you are in your AI programme, the PoC Sprint is either your first step or the validation you need before scaling.
Related Services to Explore
Frequently Asked Questions
What's the difference between this and just hiring an AI engineer?
What if the Sprint concludes the agent shouldn't be built yet?
Which AI models do you use? Can we choose?
How do you handle our sensitive data during the Sprint?
What does Phase 2 (production build) typically cost?
How much of our team's time is needed during the Sprint?
Can you work with our existing tools and data sources?
What happens after the post-sprint support window ends?
Tell us what agent you want to build
We'll review your use case and respond within 24 hours with a preliminary feasibility assessment, no commitment required. We sign an NDA before any data discussion.