Build with AI.
Be confident in what you ship.

Move from AI-generated code to accountable releases.
Your policies, your people, and every piece of evidence. Connected.

Book a demo

Start with one real release. No pipeline changes required.

Every change. The full picture.

Code, checks, and human decisions — connected in one release record.

4 releases ↗

ACTIVE RELEASES ＋

Payment reconciliation↗

PR #1291 · payments-api

Human review required

Improve search indexing

PR #1288 · search-service

Ready for release

Update auth middleware

PR #1286 · identity-service

Checks in progress

Fix webhook retries

PR #1284 · events-api

Ready for release

Synced with your engineering tools

⑂ PR #1291Review required

Update payment reconciliation

feature/payment-reconcile → main +142−28

OverviewChecks 41Files 3Activity

✧

A little context. A lot of clarity.

Improves payment matching and handles partial refunds. Quality and security checks passed; a senior review is needed.

✓Quality checks41 checks passed · 92% coveragePassed

✓Security reviewNo blocking findingsPassed

◇Payment change policySenior engineer approval required

Tech LeadReady to review. Full context attached.

Illustrative workspace. Explore the tabs or try a release approval.

One connected picture. Across the tools you already use.

GitHub

Jira

GitLab

Grafana

Prometheus

01 / THE ENGINEERING LEADER’S CHALLENGE

More code is shipping.
Who has the full picture?

AI is transforming how software is built. But engineering leaders still struggle to measure its value, keep teams productive, make confident release decisions and maintain a complete audit trail across tools and people.

Explore the three challenges01 · Measure AI value

✦

High AI adoption is great.
But are we getting real productivity and ROI?

Illustrative comparison · changes are relative to the pre-AI baseline.

✓Build

✓Tests

✓Security

?Deploy

Policy review required

Payment changes require senior review.

⊗ No approval evidence found.

A green pipeline doesn’t automatically mean a governed release.

Where is the complete release decision?Evidence is fragmented across tools, teams and conversations.

THE SOLUTION

Measure the value.
Govern the change.
Prove the outcome.

DryDock connects your AI investment to real engineering outcomes—with governance built in.

See how it works →

✦ DryDock connects it all

AI Investment

Track usage and cost across tools

Developer Productivity

Measure real impact on delivery

Change Analysis

Understand what changed and why

Policy & Security

Automated checks with human judgment

Human Approval

Route exceptions to the right people

Confident Release

Complete audit trail to production

Illustrative connected workflow. The example release above still requires approval.

02 / ONE RELEASE. ONE RECORD.

From intent to production.
A complete, explainable record.

DryDock connects the signals across your delivery stack and turns them into a single, defensible release record — what changed, how it was verified, who approved it, and what happened after shipping.

POLICY EXCEPTION

PAY-07 triggered

Payment changes require senior review.

This change modifies payment reconciliation logic. Automated checks passed, but human approval was required before production.

✓ Tests✓ Security✓ Requirement✓ Diff

PolicyPAY-07 · Payment code

Triggered becausepayments/reconciliation.ts changed

Decision ownerSarah M. · Tech Lead

Decision✓ Approved after review

TimestampOct 14, 2026 · 16:31 UTC

Production
outcome

Linked

The story continues in production.

Select Release to trace this decision to its observed outcome.

Release 4.2 → Production

Connected evidenceFrom ticket to production, without gaps.

Human accountabilityThe right review, with full context.

Proven outcomeValidate that the change was stable after release.

03 / SPECIALISED AI AGENTS

A crew for the checks.
Your team for the judgment.

DryDock brings the findings together with a set of specialised AI agents. Use them as-is or create your own agent for the way your team works.

✦PRESET / INSPECT & ADAPT

Governance agent

Inspect the signals and decisions behind this agent.

Goal: Detect payment-related AI changes
Signals: Git diff + Jira + AI provenance
Logic: Payment code changed AND AI-assisted
Action: Route to senior reviewer
Human owner: Engineering lead

Start with this preset and adapt it to your policy.

Interactive preview · agents created here are not deployed.

YOUR WORKFLOW, YOUR POLICYGovernance agent

WHEN

A pull request opens

→

Payment code changed AND AI-assisted

→

THEN

Route to senior reviewer

Human owner: Engineering lead

04 / ENGINEERING IMPACT

Measure the work.
Understand the tradeoffs.

Governance should make delivery easier to explain. Follow review effort, release outcomes and AI spend together, with the context behind each number.

Release volume and review effort

● Releases● Review time (h)

Review turnaround is down 42%.

Review time fell from 11.0 to 6.4 hours as release volume grew. Follow the effort behind each decision.

Illustrative data · May–October · comparison demonstrates the product view, not measured customer results.

05 / ONE CONNECTED WORKFLOW

Keep your tools.
Connect the decisions.

Bring repository, issue and pipeline context into the release conversation. Start with the stack you use and the decisions your team needs to govern.

Where is review becoming a bottleneck? ↗Can we show why this release was approved? ↗

Connected evidence

INTENT → DRYDOCK

Intent captured

PAY-482

Update payment reconciliation rules.

Linked to PR #1291 and the release decision.

06 / SECURITY & CONTROL

Start with trust.
Agree the boundaries.

Before connecting your environment, review the access, data handling and deployment requirements with our team.

Repository accessChoose the repositories in scope

Read-only where possibleReview permissions per integration

Required signals onlyAgree the minimum access needed

Access ownerYour team approves the scope

Repository access · define scope before connecting

A LITTLE MORE CLARITY

Good questions.
Straight answers.

Common questions from engineering and platform teams to help you evaluate DryDock with confidence.

Security firstWorks with your stackFast to try

What access does DryDock need?

Access depends on the tools and workflow you connect. We review repository scope, required signals and permissions with your team, using read-only access where the integration supports it. Agree access and data boundaries before connecting.

How is DryDock different from CI/CD?

CI/CD runs your pipeline. DryDock connects change context, policy checks and human decisions across delivery. It brings the evidence together so you can explain why a release moved forward.

Does every change need human approval?

Your policy defines which changes need judgment. DryDock routes exceptions to the responsible person with supporting evidence. Review requirements and release gates are agreed with your team.

Can we adapt the policies and agents to our workflow?

Bring a policy you use today, such as senior review for payment changes. We will explore the goal, signals, logic, action and human owner with you. The agent builder on this page is an interactive preview, not a deployment tool.

How does DryDock handle our data?

Before connecting, review what is accessed, where it is processed, retention, model-provider handling and deployment requirements with our team. We will confirm the supported setup for your environment.

What does early access include, and what does it cost?

We will confirm available capabilities, onboarding scope and commercial terms for your needs before you commit. The walkthrough is a chance to evaluate your use case and agree the next step.

What should I bring to the demo?

Bring a release scenario, a policy question or an overview of your stack. We can start with an illustrative release and agree what is appropriate to share. Please do not send source code, credentials or sensitive release details through the enquiry form.

07 / GET STARTED

Bring us one real release.
We’ll show you what
DryDock sees.

Pick the question you want DryDock to answer. We’ll explore a release scenario with you and walk through the findings.

▷ YOUR DRYDOCK WALKTHROUGH

01Connect one release
02Reconstruct its evidence
03Apply your policy
04Show the decision
05Connect the production outcome

YOUR FOCUS / AI ROIConnect AI investment to delivery outcomes.

Explore AI usage, review effort and release stability together, with the context behind the numbers.

30 minutesYour stackYour releaseYour questions

Book my walkthrough →Choose a time on Calendly. Selected focus is included in the booking link.

Prefer an introduction first? Request early access ＋

LET'S BUILD BETTER SOFTWARE

Request early access

Prefer an introduction first? Tell us a little about your team.

Build with AI.
Be confident in what you ship.