For Heads & VPs of Product and Engineering

Clean specs in. Usable results out.

Coding agents made execution faster. Teklens keeps the work around them current from one shared memory: specs, tickets, priorities, reviews and support, grounded in Jira and your real code.

One call. Jira and your repo connected in under an hour.

What Teklens is

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 to feed: the shared memory builds itself from Jira, Confluence and GitHub and stays current.

Reads what is already there.

Jira, Confluence, GitHub and the real code – connected in minutes per repo. The spec in Confluence stays the source.

Thinks initiatives through.

Acceptance criteria and edge cases come from real code paths – before the sprint starts, not in QA.

Takes the noise off your desk.

Standup, status, ticket creation and support triage run automatically – your time goes back to discovery and the team.

The transformation

From ticket admin back to product leader.

Coding agents made execution faster. Teklens keeps decisions, specs, Jira and reviews aligned as the work moves towards release.

Today

Monday morning, twenty tabs open. Standup eats half an hour, then it is assembling status for stakeholders. Last week’s spec comes back: “Half the context is missing.” An edge case from the last release surfaced in production – the fix costs many times more.

And your best engineer is stuck in a support ticket that has come up twice before.

With Teklens

Monday morning. The standup is ready by 08:30, the status is live. The spec is checked against the codebase, acceptance criteria and edge cases included – engineering pulls it without follow-up questions.

The support ticket arrives with the right owner, a code-grounded diagnosis and a proposed fix. Your afternoon belongs to discovery – not to the noise.

Three Activities to start with

The biggest operational levers.

Picked from the AI Product Playbook for the day-to-day: handover, quality, support.

01

Spec → Ticket with code context.

“Spec handovers lose context. Engineering starts from the Jira ticket – and at the sprint review it is: ‘That wasn’t in the spec.’”

Your Confluence spec becomes a build-ready epic in Jira: acceptance criteria from real code paths, affected components and dependencies linked, open edge-case questions flagged. You write once – Teklens translates for engineering.

The result: Specs engineering accepts without ping-pong.

View the Activity

Related: Write a PRD

02

Acceptance criteria & edge cases – before the sprint.

“PRDs are decoupled from the real code, acceptance criteria run on gut feel. Edge cases only surface in QA or production.”

The moment a story enters refinement, Teklens generates acceptance criteria with edge cases from real code paths and data shapes – plus a risk check right in the ticket. Defects become visible while they are still cheap: a fix in production costs ten to a hundred times more.

The result: Less defect leakage into QA and production, plannable sprints.

View the Activity

Related: Write a good ticket

03

Support that prepares the fix.

“My most expensive people are stuck in support requests and investigations that keep repeating.”

Teklens knows the business and the code: it triages every support issue with a code-grounded diagnosis, separates bug from feature request, proposes the right owner and prepares the fix for an engineer or coding agent. A person decides priority and approval.

The result: Senior time protected – what is learnt flows back into the roadmap.

View the Activity

Related: Run a blameless incident postmortem

Before / after

What measurably changes for you.

TodayWith Teklens
Standup and status assembly eat the morning.Standup done by 08:30 – automatically from Jira and PRs.
Spec handover with a follow-up loop: “That wasn’t in the spec.”Build-ready epics with acceptance criteria from real code paths.
Edge cases surface in QA or production – the fix costs many times more.Edge cases visible in refinement, while the fix is cheap.
Senior engineers drown in recurring support investigations.Support issues arrive triaged, with diagnosis and proposed fix.

Orders of magnitude from conversations with teams, to be proven in the pilot.

Start with one current initiative.

Set the Product AI direction or connect Jira and code to test Teklens on one real initiative.

Permission model & audit trail · CH/EU hosting · no training on your code