OKL in Practice: Turning What Your Company Learns into Something Your Agents Use
Your company learns something valuable every week and forgets most of it. We build the system that keeps it and puts it to work.
About this page. Aitina Tech’s R&D wing applies the research of Imtiaz Hassan, published as The Software Lens, in client work and in our own product. This page is the applied view: what the pattern is, how we build it, and what an engagement looks like. The full research is on The Software Lens.
OKRs tell you whether you are on track. OKL adds what they drop: the facts that are true now and the proven lessons about what works, promoted level by level and re-checked each time. Wired into a runtime, the Organizational AI Brain, those lessons are read by your agents at the moment they act, so one person's insight shapes thousands of later decisions.
From the research
“Organisational learning becomes something you can measure and reuse, not an anecdote at an off-site.”
What we take from it. A lesson that is not written down and checked is not an asset. We build the chain that captures, validates and files it, and the store your agents read it from.
How we apply it
We implement OKL in three columns. Signals come in from the tools you already use: tickets, retros, product telemetry, meeting notes. A chain of five specialised agents triages, investigates, scopes, validates and files them, each with one job and a human sign-off before anything becomes a validated learning. A Knowledge Store keeps the result with its evidence and its history, so a lesson can be superseded or retracted later without losing the trail.
On AWS the signals land on EventBridge, pass through classification on Lambda, and are stored in DynamoDB with embeddings in OpenSearch Serverless and relationships in Neptune; the agents run on Amazon Bedrock. It is a data and knowledge platform engagement with an AI engineering build on top, and it starts with a conversation about what your organisation needs to stop forgetting, which is advisory work before it is engineering.
What an engagement looks like
We start small and real: one team, one quarter, one set of objectives, with the Friday OKL review added to the Monday OKR review. The brain is built once the loop has produced its first validated learnings, so it stores something worth storing from day one.
The research behind it
This page is Aitina Tech’s applied account of OKL and the Organizational AI Brain, by Imtiaz Hassan, published on The Software Lens. The full argument, the diagrams and the worked examples are there; this page is what we do with it for clients.
Watch the episodeAI Powered Org Brain | Compound LearningThe Software Lens on YouTube →