Critical Propulsion

Critical Propulsion Amplify

Pulse structures the engagement. Amplify powers every phase of it.

The challenge

AI writes code. But does it ship on spec?

Most enterprise AI deployments hit the same three walls. Amplify is built to eliminate all three.

Unpredictable quality

AI agents produce code without methodology enforcement: no TDD, no review gates, no acceptance criteria verification.

No delivery visibility

Leaders have no live view of AI-driven work. Status updates are manual, inconsistent, and arrive too late to course-correct.

Governance gaps

AI agents take actions on your behalf, creating PRs, writing work items, and publishing docs, without any approval layer.
What you get

Dozens of skills. One methodology. Every phase of delivery covered.

Each capability is a governed behavior your swarm executes on demand , structured, auditable, and consultant-approved before any action is taken.

Confidence banding

Classify every backlog item as Committed, Target, or Stretch before pricing. Bands feed directly into release gate decisions and pulse reporting.

Daily standup from live data

Generate structured per-person Done / Active / Blocked reports pulled directly from your work management system. No manual updates, no stale status.

Automated QA verdicts

Run unit tests and smoke tests against story acceptance criteria. Get a GO, CONDITIONAL, or NO-GO verdict with per-AC coverage analysis.

Release gate

GO, CONDITIONAL GO, or NO-GO before every deployment. Stretch stories and failed QA are unconditional blockers. No exceptions, no averaging.

Autonomous PR review

The agent reviews its own pull request against acceptance criteria, posts findings as review threads, casts a vote, and advances the board state automatically.

Security review

Read-only scan for secrets exposure, identity misconfigurations, and infrastructure template issues, integrated automatically into every release gate.

Technical design briefs

Full architecture documents with diagrams, data models, API specs, and NFRs, generated section by section with consultant review between each.

Auto-generated documentation

Feature pages, API change logs, architecture notes, and changelogs generated from diffs and story ACs , ready to publish on consultant approval.

End-to-end story execution

One instruction kicks off the full cycle: agent reads ACs, sets board state, builds in an isolated branch, creates the PR, and triggers autonomous review.
Built for Pulse

Every Pulse phase, fully powered.

Pulse defines how CP structures every engagement: Discover, Build, Validate, Learn. Amplify is the agentic framework executing the work inside each phase, with the same governance rules and consultant gates running automatically across every cycle.

01Discover

Align the team, classify the backlog, and generate architecture before a single line of code is written.

  • Engagement setup
  • Confidence banding
  • Technical design briefs
02Build

Agents execute stories end-to-end in isolated branches, self-review, and surface status in real time.

  • End-to-end story execution
  • Autonomous PR review
  • Daily standup from live data
03Validate

Every story earns a verdict before it can gate. No story ships without passing QA, security, and confidence checks.

  • Automated QA verdicts
  • Security review
  • Release gate
04Learn

Documentation, changelogs, and architecture notes generated automatically so the team ships knowledge alongside code.

  • Auto-generated documentation

Not familiar with Pulse? See how CP structures engagements →

The delivery flow

From backlog to production, every step is governed.

Amplify maps a capability to every phase of your delivery cycle. The AI does the work. The consultant controls the gates.

Step 01

Engagement setup

Auto-discover your team, board, and stack. Write context once. Every action the swarm takes is informed by it from day one.

Step 02

Band the backlog

Classify every story by confidence before work begins. Bands feed directly into release gate decisions. No re-estimation mid-cycle.

Step 03

Design and brief

Generate full technical design documents with diagrams. Consultant reviews each section before build starts.

Step 04

Build the story

Agent executes test-driven development in an isolated branch, creates the pull request, and triggers autonomous review.

Step 05

QA and review

Tests run against story acceptance criteria. GO / CONDITIONAL / NO-GO verdict with per-AC coverage before any gate decision.

Step 06

Release gate

Security, QA, and confidence band checks. GO only when all signals clear. Stretch stories and failed QA are unconditional blockers.

Step 07

Ship and document

Feature docs, changelogs, and API notes generated from diffs and story ACs. Published to your wiki on consultant approval.

Why Amplify

Structured AI, not just fast AI.

Any AI can write code. Amplify ensures it ships with the same discipline and accountability you'd expect from your best senior engineer.

Built on your existing stack

Amplify runs inside the AI tools your team already uses. It integrates directly with your work management and CI systems. No new platforms to buy or train on.

Consultants stay in control

Every consequential action (PR votes, story state changes, documentation publishes) is presented for explicit approval before execution. AI proposes. You decide.

Delivery visibility at every level

Daily standup reports, velocity trends, and band coverage ratios pulled from live data. Executives get the summary. Engineers get the detail.

Composable, not monolithic

Each Amplify capability operates independently. You adopt what you need, when you need it, from a single standup report to a fully automated story-to-PR pipeline.

No vendor lock-in

Amplify is a methodology layer, not a platform. Your skills config lives in your repo. Switch AI providers, change orchestrators, or self-host. Nothing locks you in.

Platform agnostic

The skills framework connects to your tools via MCP, not hardwired integrations. The methodology travels with you regardless of what work management or CI systems you run.

"The difference between an AI that writes code and an AI that ships features is methodology. Amplify is the methodology, baked directly into the agent."

Critical Propulsion , Enterprise AI Delivery Practice

Yours to keep

The framework stays when we leave

Amplify ships with the engagement, not as a separate product. You receive it on day one. It learns your stack, your board, and your team. When the engagement ends, the framework stays with you.

See the Amplify framework run on a real problem.