AI-generated scene: an anvil with a glowing bar and a row of finished parts.
Forge

FORGE · PRODUCT DELIVERY

Idea to release, one connected chain. Nothing lost at the handoff.

Forge automates the product chain: BRD, PRD, architecture, user stories, acceptance criteria, test cases, developer handoff and release. Connected to Aha, Jira, Confluence, ADO and your code. Agentic where it reasons, deterministic where traceability must hold.

$2.24Moverspend / $3M project
$1.4M/3-yr productivity per team
2×delivery throughput
5–7 hrsback / PM / week

A Mantle product

WITH FORGE

Every story traces back to the need that justified it.

  1. 1Drafts the chainBRD, PRD and solution definition from your discovery notes and codebase.
  2. 2Decomposes the workINVEST stories with acceptance criteria and test cases attached.
  3. 3Keeps it in syncAha, Jira, Confluence, ADO and code updated both ways, with audit.
Up to 80%

of features in the average software product are rarely or never used

−7.2%

delivery stability for every 25% rise in AI adoption (modelled)

Amplifier

AI lifts throughput but still raises instability

REQUIREMENTS

BRD and PRD in your house style.

  • Ideas captured from customer signals, sales notes, support tickets and Aha records, deduplicated and themed
  • BRD: business context, objectives, success metrics, constraints
  • PRD: problem, target users, requirements, scope and non-functional needs, traced to the idea
SOLUTION

Solution definitions grounded in your actual codebase.

  • Reads source to scope the solution, and flags impacted services on every spec
  • System and data design with component contracts, sequence diagrams and dependencies
  • Built on your existing product docs and design system, not a generic answer
DELIVERY

Stories, criteria and tests ready to pull.

  • INVEST user stories, each linked to its PRD section
  • Given/When/Then acceptance criteria, traced to test cases
  • Functional, regression, edge-case and accessibility test cases
  • Developer tickets pre-populated with context, codebase pointers and acceptance gates
TRACEABILITY

An audit chain from requirement to release.

  • Requirement, design, story, test and deploy linked, with immutable evidence
  • Sign-off gates and role-based approvals, with an audit entry on every override
  • Release notes, customer comms and training material, in your voice
  • Learns your style, vocabulary and decision logic with every release
Quantified outcomes

Outcomes the market has already paid for — with the audit chain intact.

The market has converged on what AI-augmented product delivery delivers. Forge targets the top of that range on day one — while keeping the deterministic traceability that regulated industries already require.

~2× coding throughputMcKinsey: GenAI lifts coding throughput approximately 2× on bounded tasks
16–30% productivity gainTop performers on team productivity, CX, and time-to-market with disciplined AI
31–45% software-quality gainThe same top-performer cohort; quality is where the biggest gap shows up
55% faster task completionGitHub Copilot RCT: 1h11 vs 2h41 on standard developer tasks
5–7 hrs / PM / weekTime returned per product manager — Notion AI & Cohere customer measurements
30% faster deliveryCohere teams reported shipping ~30% faster with AI in product workflows
1 week → 90 minutesProductboard AI: customer report on feature-spec drafting time compression
Up to 85% manual case reductionAtlassian agentic AI: $1.4M productivity gain over 3 years per customer
35% lead-time improvementDORA: platform-engineering effect on lead-time + 60% more frequent deployments

Bring one squad's delivery chain. We'll scope the pilot.

mantlenow.com/products/forge   Outcomes, accelerated.