EXEQSOLUTIONS

EXECUTION AUDITS FOR PRODUCT COMPANIES

Between requirements and release, work disappears.

AI tools amplifying gaps that were always there, releases that don't reach sales, and support findings that never loop back to product.

Take the scorecardRequest the audit

THE CHAIN

Value usually leaks at the joints between teams.

Most software companies run the same chain: strategy becomes requirements, requirements become tickets, tickets become code, code becomes a release, a release becomes GTM, GTM becomes support findings. Most of what gets lost gets lost at the joints between teams.

  1. REQREQUIREMENTS
    LK-01

    Requirements that lose their why

    The PRD said what to build and why. The ticket says what to build. Engineers and PMs fill the gap with assumptions, the assumptions ship, and the gap becomes rework nobody budgeted for.

  2. TKTTICKETS
    LK-02

    Spec drift

    The spec was true at kickoff. Three weeks of decisions later, nobody has updated it. The code, the roadmap, and the document now describe three different products. Every new hire inherits the confusion.

  3. ENGENGINEERING
    LK-03

    Silent rework

    Work gets redone because the first version answered the wrong question. The redo never gets a ticket, so it never shows up in planning, velocity, or anyone's forecast. Roadmap commitments slip for reasons nobody can name.

  4. RELRELEASE
    LK-04

    Release notes nobody can use

    Engineering writes the changelog for engineering. Sales, marketing, and customer success can't sell or support from it,so they keep talking about the previous version of the product.

  5. GTMGTM
    LK-05

    Findings that never return

    Support and customer success hear what's broken every day. Those findings die in a queue and never reach product or the roadmap. The same leak gets reported again next quarter, at full cost.

  6. SUPSUPPORT

  7. RETURN PATH FROM SUPPORT TO REQUIREMENTS: BROKEN

THE AUDIT

Four weeks inside how you actually run.

Every org has two versions of itself: the one in the strategy deck and the one in the artifacts. We audit the second one and measure the distance between them.

DURATION
Four weeks. Fixed scope, fixed price, fixed end date.
COVERAGE
The whole lifecycle. Product requirements, roadmap health, planning quality, ticket fidelity, engineering, release, GTM execution, support feedback loops, and how findings close back to product.
METHOD
Async first. We read your real PRDs, roadmap docs, planning artifacts, tickets, specs, and release notes, plus any AI system prompts and GTM handoff docs in scope. Then 4 to 5 interviews with the people who write them: product managers, engineers, and GTM leads.
LOAD ON YOUR TEAM
Almost none. Most of the audit happens in your artifacts, not your calendar.
POSITION
We're outside the org chart, which gives us the freedom to surface insights, ask difficult questions, and document what internal structures sometimes overlook.
DELIVERABLES
A findings report with named leaks across the full lifecycle (product, engineering, and GTM) with conservative cost estimates per leak. A 90-day remediation plan sequenced for how your org actually works.

THE LADDER

Four steps. Each one earns the next.

  1. STEP 01FREE

    The scorecard

    Twelve questions about how work moves through your chain, scored against the leaks we find most often. Five minutes, no call.

    Take the scorecard
  2. STEP 02$7,999

    The audit

    Four weeks across the whole chain. You get the findings report and the 90-day plan described above.

    Request the audit
  3. STEP 03

    The install

    We implement the plan as a working system: ticket standards, spec templates, AI review gates. Scoped after the audit, because the audit decides what gets installed.

  4. STEP 04

    The checkup

    A quarterly retainer. We re-read the artifacts, measure drift against the plan, and tell you what started leaking again.

FOUND AND FIXED

Patterns we have found inside real orgs.

RETENTION

The reasons customers left were filed months before they left.

Churn causes were sitting in support tickets as unread data. We turned the queue into retention signal and shipped the fixes.

35% less churn. ~$400K in revenue retained ($10M ARR business).

SUPPORT OPS

Closing tickets is not the same as learning from them.

The same issues were resolved dozens of times while the roadmap ignored the signal. Pattern-based triage turned recurring friction into shipped product changes.

70% of tickets closed in under a week. 15+ product improvements from support data.

AI SYSTEMS

We built agents that changed how the work was defined.

Ticket quality, QA coverage, and requirements validation were all failing before engineering started. We built custom agents across all three: a refinement agent that stress-tests tickets against the product capability map, a QA guidance layer that surfaces coverage gaps before code ships, and a requirements validator that flags ambiguity at the source. Rework stopped being the default.

Median backlog time went from 9.1 days to 3.4 days. Rework rate: 40% → 3%.

RELEASE

A large corporation was shipping once a quarter. Now it ships every month.

The SDLC was fragile everywhere. We rebuilt the pipeline end to end: tightened handoffs, made environment parity structural, and gave teams a release process they could actually repeat at scale.

Quarterly → monthly releases. Revenue from exisiting customers up 22%.

Every one of these looked fine from the inside.

Request the audit

CONTACT

Request the audit.

Tell us where work is losing value: requirements, planning, engineering, release, or the feedback loop back to product. We reply within two business days with whether the audit fits and when we can start.