You have already paid for the AI. The pilot demoed well, the production results never landed, and now your CFO is asking why. The reason is almost always the same: there is no semantic layer between the data and the agent. We add one. Most of our work is finishing what someone else started.
Most stuck pilots have a clean architecture diagram. There is the data, there is the model, there is the agent. The arrows look right.
What the diagram hides is that nothing in the middle defines what any of those entities mean. The agent is given a vector store and asked to reason. Without a typed graph of governed entities, it cannot. It guesses. It hallucinates. It demos brilliantly on the curated test set and falls over the moment a real user asks a real question.
The fix is not a different LLM. It is a context graph that sits between the data and the agent and tells the agent what things are.
The pilot was built against a curated dataset. Production data is messy and fragmented because nobody agreed what an entity is. The agent has nothing to anchor on.
Embeddings find lexical neighbours. The user asked about renewals and the system returned passages about contracts. Close, but wrong. A graph would have found the renewal.
The proof of concept ignored RBAC. Real production needs row-level security per user. The pilot stalls in the InfoSec review and never restarts.
Every regulated industry needs to explain why the AI said what it said. The pilot did not produce that lineage. Risk and compliance hold the launch.
The pilot measured BLEU scores. The board wants pounds saved or hours returned. The bridge between them was never built and the value case stalls in finance.
Most stuck pilots are blocked by two or three of these in combination. The triage is fast. The fix takes weeks, not years.
Week 1 - Triage. A short, honest read on which of the five blockers are killing your pilot. We meet your team, look at the artefacts, and tell you whether a rescue is realistic or whether the work needs to start again. That conversation is fixed-fee and ends with a yes or a no.
Weeks 2-12 - Rescue. Embedded with your team. We design and build the missing semantic layer, instrument the metrics finance wants to see, and ship the pilot into a production-ready state. You take it over from there.
After. Your team owns the result. We disappear. If a second pilot needs the same treatment we are happy to come back, but we are not interested in long-term embedded contracts.
Tell us about it on a call. If we can rescue it, we will. If we cannot, we will say so on the call.
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