Less coordination work. The full picture.
Teklens is the shared Product Brain for your software team: a shared memory for people and agents. Priorities with reasons, progress visible while people and agents work in parallel, every result checked against the decision and approved by a person.
People approve and review · CH/EU hosting · no training on your data
In one sentence.
Teklens is the shared Product Brain for your software team: a shared memory for people and agents. It keeps product decisions, customer feedback, Jira and code connected and current. No new system and no duplication: your tools stay; oversight and evidence are added.
Reads what is already there.
Jira, Confluence, GitHub and the real code – connected once, always current. Nobody has to feed a new tool.
Understands how it all connects.
Every idea, every ticket and every incident is linked to the affected components and the people who know them.
Answers with reasoning.
Priorities, estimates and status come with a derivation from the real code – not from gut feel.
See what needs your decision.
Coding agents deliver faster. Product and Engineering still coordinate decisions, reviews and stakeholders by hand. Teklens keeps this work connected as execution runs in parallel.
Tuesday, 9 am, steering. The slides are two weeks old. The estimate for the most important initiative: “Q3, probably”. Whether the compliance question in the new feature is properly solved, nobody knows for sure – that surfaces just before release.
You defend priorities built on gut feel, and only learn at the end of the sprint how far along a project really is.
The current decision, its scope and related Jira work are connected to the real code. Changes and open review questions are visible where the work happens.
You can check whether implementation still matches the decision and decide what needs attention before release.
The biggest strategic levers.
Picked from the AI Product Playbook for the decision-maker view: prioritisation, transparency, governance.
Check one decision against implementation.
Did we build what we agreed?
Take one current initiative. Compare its decision, spec, Jira story and pull request to find missing scope, changes and open review questions.
The result: Review the result against the intent before release.
Related: Prioritise with a 2×2 matrix
Standup and sprint: transparency without chasing.
“How far along a project really is, I only see at the very end.”
Automated standup and sprint summaries from Jira and pull requests show continuously where every initiative stands – risks get flagged while course correction is still cheap. A transparency tool, not a control instrument: it talks about problems, not people.
The result: No manual reporting, no submarine projects, no surprise at sprint end.
Related: Write release notes
Epic review with a checklist – before release.
“What is behind the AI – and does it survive our due diligence?”
A template-driven epic review checks security, privacy, legal and AI compliance, dependencies and documentation against the real code – in the Define phase, long before implementation. Every epic runs through the same checklist, traceable and audit-ready.
The result: Governance that survives due diligence – without extra loops before release.
Related: Run a retrospective
Where this is heading.
Three developments that matter for the decision-maker view – what already works today and what comes next.
Model choice and AI costs under control.
TEAM runs on Teklens models with monthly credits instead of seats, so the cost follows what the team uses. ENTERPRISE brings your own model or endpoint – Claude, GPT or Gemini, selectable per project, incl. CH/EU hosting – with its own credit volume. And the shared context saves credits: every model gets only the relevant slice, expensive models run only where prioritisation justifies them.
The shared context becomes explorable in more depth.
Teklens holds your decisions, your Jira and your code together as one map – already visually explorable in Discover today. Next, we deepen the map: clusters, dependencies and drift between spec and code across your whole software. Prioritisation work directly on the graph.
Meetings flow straight into the specs.
The meeting bot runs in beta on selected projects: decisions from refinement, standup and review land in the spec and the Jira ticket. Next, meeting recordings enrich epics and specs directly. The minutes are no longer an afterthought; the work is already done.
What you can keep in view.
| Today | With Teklens |
|---|---|
| Decisions scattered across tickets and conversations. | Decision, scope and related implementation connected. |
| Agent work needs individual briefings and status requests. | People and agents work from one shared memory. |
| Changes surface late in review. | Check implementation against the decision before release. |
| AI use grows across teams without a common view. | Model choice, access and consumption can be governed. |
Agree the available checks and success criteria for your test.
Start with one current initiative.
CPOs and CTOs align AI strategy, operating model and implementation. Product and engineering test Jira and code on real work.
CH/EU hosting · no training on company data · model choice per project