Forge is Forzo's AI-native SDLC methodology that embeds governed intelligence across every phase of software delivery, from requirements to production, so your teams go faster and your outcomes are measurable.
Many enterprises are stuck. They hold critical applications that are poorly documented, maintained by long-departed teams, and too risky to touch without a full understanding of what they do. Modernisation stalls. Technical debt compounds. Delivery slows to a crawl.
Forge's Reverse Engineering capability uses AI to automatically extract, reconstruct, and document the full technical and functional picture of your legacy systems, covering source code, configuration files, business logic and data flows, eliminating the need for expensive legacy SMEs or years of tribal knowledge recovery.
AI deep-scans codebases across any language including COBOL, Java, .NET and Python, to extract structure, logic, and intent.
Produces accurate technical and functional documentation from code and artefacts, in hours rather than months.
Visualises system dependencies, data flows, and integration points, building the architecture picture that was never written down.
Extracts embedded business rules and process logic from undocumented systems, giving teams the "why" behind the code.
Identifies and scores risk areas, dead code, and modernisation candidates, so you can prioritise what matters most.
Delivers a structured output that feeds directly into Forge Phase 1, giving your teams a clear, confident starting point.
Six integrated phases, each amplified by purpose-built AI capabilities that compound in value across the full lifecycle.
Transform ambiguous business needs into structured, traceable requirements in hours. AI surfaces gaps, detects conflicts, and generates stories automatically.
AI evaluates architecture candidates, maps dependencies, and runs threat modeling before a line of code is written, with scalability and security by design.
Developers move at 3× velocity with contextual code generation and PR review bots that catch defects, security issues, and style violations before merge.
AI generates comprehensive test suites from code and requirements, cutting QA cycle time while increasing coverage and edge-case detection dramatically.
AI-optimised pipelines score deployment risk, recommend rollout strategies, and triggering automated rollbacks for safer, faster releases every time.
AI correlates logs, metrics, and traces to detect anomalies, forecast incidents, and feed real usage signals back into planning, closing the loop continuously.
Every Forge engagement is grounded in a philosophy that puts your teams, governance, and measurable value first.
We augment your existing toolchain, including Jira, GitHub and Azure DevOps, without rip-and-replace. Forge layers AI on top of what your teams already trust.
Enterprise-grade controls, data residency, and role-based access ensure AI augmentation never compromises compliance, IP, or EU AI Act obligations.
Every phase ships with pre-defined KPIs and dashboards. We track cycle time, defect escape rate, and deployment frequency so value is always visible.
AI accelerates and recommends. Your engineers decide. We design every workflow to keep teams in control, building trust in AI tooling incrementally.
DeliveryIQ is the measurement and intelligence layer that answers the CFO's question: "How do we know this is working?" It tracks delivery maturity, KPIs, and ROI over time.
| ⚒ Forge | 📡 DeliveryIQ | |
|---|---|---|
| What it is | Methodology & framework | Measurement platform |
| Speaks to | CTO, VP Engineering | CFO, CIO, Delivery Leaders |
| When used | During engagement | Ongoing post-implementation |
| Long-term play | Consulting IP | SaaS product |
You implement Forge. You measure with DeliveryIQ.
Track how Forge is transforming your delivery performance in real time, from sprint one through scale.
Indicative benchmarks based on DORA metrics. DeliveryIQ tracks your actuals from day one of the Forge engagement.
A proven, low-disruption onboarding process designed for enterprise scale and speed.
We audit your current SDLC, toolchain, and team maturity to identify the highest-impact AI opportunities and baseline your DORA metrics.
A tailored Forge blueprint is co-created with your engineering leaders, sequenced for quick wins and long-term transformation.
We embed with one pilot team to deploy Forge across 2–3 phases, validating outcomes and building internal champions before scaling.
Forge rolls out org-wide with enablement programs, governance playbooks, and DeliveryIQ tracking every gain.
Book a complimentary discovery call. We'll assess your delivery pipeline and outline where Forge can deliver the fastest, highest-value impact.