Mergebot logo Mergebot
AI merge orchestration

Ship compliant merges without the midnight scramble.

For regulated teams

Mergebot automates policy-aware review, risk scoring, and CI/CD integration so every merge is audited, explainable, and fast enough to keep shipping on schedule.

Policy-aware automation for regulated teams
Queue-native auto merges you can audit in seconds
AI copilots that keep humans in control
Open-source core you can self-host
Try Mergebot Explore docs Self-host Mergebot See use cases See how it works
Median merge lead time
37 min

for policy-approved PRs

Manual reviews reduced
68%

with hybrid AI + human routing

Audit prep time
-83%

export-ready evidence packages

Queue intelligence

Review queue overview

Live

AI copilots summarize each PR, predict risk, and recommend the fastest path to merge.

Screenshot of the Mergebot impact assessment report showing policy status, coverage, and risk scoring.
Mergebot highlights the diff, impacted services, required approvers, and policy status for every change.

Automated checks

  • Coverage ≥ 90%
  • Risk score < 0.25
  • Secrets scan clean

Next actions

Queued for merge once policies and human overrides reconcile.

Built for regulated engineering teams

Compliance teams use Mergebot to codify separation-of-duty rules, keep merge evidence tamper-evident, and share queue status with auditors in minutes.

Approval evidence Customer keys Customer hosting

Why teams switch

Manual controls slow you down. Mergebot rewrites the merge playbook.

Compliance-heavy teams reduce review toil, remove merge queues, and capture defensible evidence with Mergebot. Start with templates or import your existing policy.

Pull requests stall when approvals are manual

Reviewers juggle compliance checklists, risk sign-offs, and flaky CI. Releases slow to a crawl the moment teams grow.

Policy drift erodes trust

Paper policies rarely map to what happens in Git. Teams rely on memory to recall reviewers, approvals, and coverage gates.

Audit trails are fragmented

Screenshots, Slack receipts, and spreadsheets form the “evidence.” When a regulator asks for proof, the scramble begins.

How Mergebot responds

Policy-driven automation across the merge lifecycle

Define policies once, then let Mergebot orchestrate reviews, testing, and approvals while humans focus on the changes that matter.

Codify merge policy once

Declarative YAML rules capture every conditional approval, separation of duties, and risk threshold.

Review with multi-agent context

Agents read diffs, test output, coverage, vulnerabilities, and dependencies as a single set of signals for reviewers.

Autonomous queues that stay auditable

Risk-scored queues merge safe work immediately and flag edge cases for human sign-off with full trails and exports.

Feature spotlight

Everything you need to merge with confidence

Mergebot unifies signals from code, tests, infrastructure, and policy engines into a single approval surface.

Mergebot auto-approval report highlighting risk score, CI checks, and reviewer decisions.
Capture policy evidence automatically with downloadable audit packages per merge event.

Adaptive risk scoring

Evaluate every diff with code coverage, dependency impact, and historical incidents to route to the right queue.

Provider agnostic queues

Mix GitHub and GitLab repos with unified routing, approvals, and policy inheritance from one control plane.

Evidence vault

Exportable audit reports signed with merge metadata, reviewer identities, and CI proofs.

Compliance templates

SOC2, SOX, and ISO-ready policy blueprints help you start fast with controls your auditors recognize.

Custom incidents

Automatically open incidents or dispatch runbooks when policies fail or risk thresholds spike.

Human-in-the-loop approvals

Blend AI recommendations with human checkpoints, including emergency brakes, manual overrides, and coverage escalations.

Merge orchestration blueprint

How Mergebot keeps you shipping

Each step keeps humans focused on intent while Mergebot automates the rest. Visualize the workflow from install through continuous audits.

01

Install & connect

Authorize the Mergebot GitHub or GitLab app and select repos. SOC2-ready scopes keep code secure.

02

Express your policy

Start from proven templates—coverage, approvals, change risk—or map your own rules in minutes.

03

Review with AI copilots

Agents analyze diffs, tests, ownership, and infrastructure impact; humans intervene only where needed.

04

Merge & export evidence

Every merge is queued, signed, merged, and archived with downloadable reports for audits or retros.

Merge orchestration stream

From pull request to audited merge

Signals travel across Mergebot’s pipeline. Each lane automates policy checks, AI review, and final queue actions without breaking compliance.

01

Signals captured instantly

PR opened

  • Diff & tests captured
  • Impact map built
  • Secrets scan triggered
Risk snapshot 0.22 (low)
02

Controls applied

Policy engine

  • Policies parsed
  • Coverage threshold 90%
  • Reviewer mapping enforced
Required approvers 2
03

Context for reviewers

AI review copilots

  • AI summarizes changes
  • Risk score recalculated
  • Questions surfaced
Time saved 58%
04

Delivery orchestrated

Merge queue

  • Queued & merged
  • Audit log exported
  • Slack notified
Lead time 37 min
Illustration: Mergebot routes every pull request through policy checks, AI review, and merge queue evidence capture.

Use cases

Where teams let Mergebot handle the queue

Regulated CI, digital health, platform engineering, and open-source maintainers all rely on policy-aware automation. Each scenario keeps humans in control while Mergebot carries the overnight load.

Need a tailored rollout? Talk to product to map Mergebot to your controls, or self-host from the open-source core.
Financial & regulated CI

Continuous security merges without night shifts

AI-led risk scoring, compliance test suites, and directory-specific approvals let regulated teams auto-clear safe work and queue critical changes for daytime review.

Risk auto-cleared
72%
SOC2SOXPCI-ready
Digital health / gov

Generate FDA-ready merge evidence on every release

Capture reviewers, policy diffs, and test outputs automatically so exports satisfy HIPAA, FDA, and FedRAMP audits without spreadsheets.

Audit exports
1 click
Audit trailsEvidence vault
SaaS & platform teams

Hybrid AI + human approvals that keep velocity high

Differentiate routine fixes from invasive refactors. Mergebot merges low-risk code in minutes and blocks high-risk changes until owners weigh in.

Lead time
37 min
Continuous deliveryAI copilots
Open source & innersource

Policy guardrails for distributed contributors

Declarative policies enforce scalable governance. Contributors get instant feedback while maintainers rely on queue intelligence and risk scoring.

Repos governed
200+
Policy-as-codeQueue intelligence

Security & compliance

Configurable controls that auditors love

Bake your deployment policies directly into the merge pipeline. Every merge is evaluated, queued, and approved against the controls that keep you compliant.

  • SOC2, SOX, ISO 27001, and HIPAA-ready templates with documented reviewer separation.
  • Immutable audit trail stored with time, actor, diff hash, and policy outcome.
  • Fine-grained secrets, dependency, and infrastructure checks triggered before merge.
Docs preview Integrations roadmap Changelog Open-source repo

Policy playbook

Choose a policy stance

Engineering Balanced default 
approval_policy:
  threshold: 3.0
  weights:
    CodeAnalysis: 0.4
    ComplexityAnalysis: 0.2
    TestAnalysis: 0.2
    RiskAnalysis: 0.2

merge:
  enabled: true
  threshold: null
  strategy: repo_default
  rules:
    ci_passed: true
    ci_strict: false
    no_changes_requested: true
    mergeable: true
    approval_state: true
    branch_prefixes:
      - "feature/"
      - "bugfix/"

Ships with Mergebot today. A balanced mix when compliance and developer productivity share the same priority.

Proposed visual: carousel animation comparing policy diffs with reviewer sign-off timelines and merge engine metrics.

Why Mergebot wins

Built for teams that can’t compromise on compliance or speed

Capability Mergebot Manual orchestration
Policy automation YAML-backed policies across repos, services, and risk profiles with inherited defaults. Tribal knowledge, unchecked config drift, one-off conditionals in each PR.
In-flight visibility Live merge queue with risk scoring, reviewer SLAs, and AI generated summaries per change. Spreadsheet trackers, stale dashboards, and manual pings for every critical fix.
Audit evidence Signed approval logs, exports to CSV/JSON, and SOC2-ready trails per merge. Screenshots, chat threads, and missing context when regulators request proof.
Delivery speed Safe merges in minutes—even overnight—without bypassing gates. Wait for humans in every time zone; changes snowball into release trains.

Teams in production

Trusted by engineering, platform, and compliance leaders

From fintech core banking to digital health, Mergebot keeps regulated teams shipping continuously.

“Regulated teams across variious industries rely on Mergebot to automate merges without sacrificing policy control.”

“Mergebot keeps our pipelines flowing. The bot takes care of dependency bumps and vulnerability patches the moment they land, letting us stay compliant with quality requirements while we stay focused on infra and observability.”

Senior DevOps Engineer, Getinge

“Policy automation that humans still trust. Mergebot codifies every approval rule, merges low-risk work overnight, and hands auditors export-ready evidence on demand.”

Head of Software Engineering, SoftwareX

Questions, answered

FAQ

Everything you need to know about getting Mergebot running across your org.

Is there an open-source version?

Yes. The core Mergebot engine is open source. Grab the code from our GitHub repository, follow the install guide, and layer on your own infrastructure controls before connecting production workloads.

Does Mergebot replace code reviewers?

No. Mergebot augments reviewers by triaging low-risk work, providing AI analysis, and routing edge cases to the right humans. You stay in control with deploy blocks, staged rollouts, and manual overrides.

How do policies work across GitHub and GitLab?

Policies are provider-agnostic. Assign them to repos or groups, inherit common rules, and override specifics per service. Both GitHub App and GitLab group integrations are supported out of the box.

What data does Mergebot store?

Only metadata required to evaluate policies, merge queues, and audits—diffs, checks, comments, and risk signals. Code is never persisted; it is streamed, analyzed, and discarded.

Can we self-host Mergebot?

Yes. Enterprises can deploy Mergebot within their own cloud perimeter with customer-managed keys and private connectors. Reach out for deployment options.

Start merging smarter

Ready to automate policy-driven merges?

Install Mergebot, connect your repos, and ship your first compliant auto-merge in under an hour. Need a tailored roll-out? We’ll walk your team through policies and audits. Prefer to self-manage? Fork the open-source core and deploy it inside your own perimeter.

Launch the app Talk to product

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