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GOVERNED AGENTIC DELIVERY

Agents propose, humans approve

FORGE turns ideas into production-grade, regulator-ready software. Supervised AI agents do the work, people sign every gate, and compliance is built in from day one.

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01 / THE PROBLEM

Speed without governance is a liability

Code is now produced faster than anyone can check it. Rework, security gaps and audit exposure grow with every release nobody signed off. In the Kingdom, NCA, PDPL, NDMO and NORA all ask for evidence that most teams can only produce by hand, after the fact.

0%

of AI-generated code samples failed security tests, introducing OWASP Top 10 vulnerabilities.

Veracode, 2025
0.0x

more issues in AI-generated code than in code written by people.

CodeRabbit, 2025
over 0%

of agentic AI projects will be cancelled by the end of 2027.

Gartner, 2025
over 0x

the cost of fixing a defect in live operation, against fixing it at requirements.

Baziuk 1995, cited in NIST Planning Report 02-3, table 1-5

02 / THE GAP

AI rewired one phase and left the other four behind

Every phase of enterprise delivery runs on its own tools, and none of them talk to each other. AI has made one phase faster. It has not joined them up, so the controls still break every time work changes hands.

01 / SHAPE · WHAT IS MISSING

Portfolio and demand management tools rank the ideas, but the business case stays in a document. Its value, scope and assumptions never travel into the phases that follow.

Five phases. Five sets of tools. No thread between them.We have not found a tool that carries one piece of work from idea to production with the decisions, controls and approvals attached. That is the gap FORGE closes.
Separate tools in each phaseAI agents, crowded into one phaseThe thread breaks at every handover

03 / THE FACTORY

From business intent to governed software

Specialised agents work across the whole lifecycle. A person approves every decision that carries accountability, and controls are enforced at every gate.

INPUTS
Orchestrated agent fleetSpecialised agents across the five phases.
AI deliversConsistent, audit-ready artefacts people can read.
A person approvesEvery decision that carries accountability.
Gates enforceData, governance, audit and regulation at each step.
OUTPUTS

04 / HOW IT WORKS

Agents propose, humans approve

AGENTS PROPOSE

Agents read your goals, your existing systems and the regulations that apply. They draft the business case and use cases, prioritise the projects and build the roadmap.

HUMANS APPROVE

The portfolio manager approves the budget, timelines and priorities, and decides what gets built and what does not. The enterprise architect signs off the business case and confirms there is capacity to deliver it.

Portfolio manager · Enterprise architect
GATE 01 · APPROVED BY PORTFOLIO MANAGERStrategic alignmentGo, kill or hold
GATE 02 · APPROVED BY ENTERPRISE ARCHITECTBusiness case approvedEA sign-off and resource capacity

05 / REGULATION PACKS

One engine, every regulation as a pack

A law, a control framework, a standard and a reference architecture bind at different points in delivery. So each is packed differently, and one engine enforces them all.

Governs how you build.

Issued by the National Cybersecurity Authority and binding on government entities and critical national infrastructure. ECC-2:2024 sets 108 controls covering governance, defence, resilience and third-party risk.

HOW FORGE PACKS IT

Packed as blocking gate criteria at the stage where each control applies, so secure development, identity, cryptography and logging are proven as the work happens.

01DECODE

Each framework is decoded into one schema of process areas, control identifiers, evidence requirements and terms.

02BIND

Controls are bound to the lifecycle stages where they apply, as gate criteria with blocking conditions, evidence templates and approval routing.

03ADAPT

Gates resolve against the project: risk, data classification, sector and past outcomes change what a control demands.

04SYNTHESISE

One gate run satisfies several frameworks at once, resolving overlaps and conflicts and producing one set of evidence.

EVERY PACK HOLDS
InstrumentObligationControlApplicability ruleEnforcement pointEvidence requirement

06 / THE PLATFORM

Sixteen features, one platform

Delivery, AI generation, governance and compliance, built to work as one system rather than a stack of tools you assemble yourself. Select any feature.

SOFTWARE DELIVERYAI CODE GENERATIONENTERPRISE GOVERNANCEREGULATORY COMPLIANCE
01 / SOFTWARE DELIVERY

Delivery persona interfaces

Role-specific views for the CTO, developer, tester and compliance officer, each showing the live delivery pipeline and the measures that matter to them.

07 / THE VALUE

81% less, modelled on a real portfolio

This is a modelled example, not a client engagement. It takes a Saudi national government digital portfolio: five real, publicly confirmed products from 2019 to 2026, costed product by product with traditional delivery and with FORGE.

Traditional deliveryWith FORGESAR MILLION
P1 · WHY IT COSTS LESS

A team of 4 instead of 15. An open-source stack replaces the content management licence.

TRADITIONALSAR 0.0MSeparate procurement per product, about 54 FTEs, licences, support and 20 to 30% rework.
WITH FORGESAR 0.0MFive products, one FORGE team.
0%lower cost across the portfolio
EACH BUILD STARTS FASTER
P235%
P345%
P455%
P565%

Cold start falls from 3 to 6 weeks to 3 to 5 days.

COST OVERRUN45%

Large IT projects run 45% over budget and deliver 56% less value than predicted, across more than 5,400 projects.

A brief gate locks scope before code.McKinsey and University of Oxford, 2012
LATE DEFECTS100x+

The longer a defect stays in, the more it costs. A study NIST cites puts a defect found in operation at 470 to 880 times the cost of one found at requirements.

Governance gates catch defects before release.Baziuk 1995, cited in NIST Planning Report 02-3, table 1-5
PROCUREMENT5

Separate procurement cycles in the traditional model, one for each product, before any productive code is written.

One platform team runs the whole portfolio.Arkitekt modelled case study
KNOWLEDGE LOSS42%

of institutional knowledge is unique to the person in the role and not shared, so it leaves with every team rotation.

Memory carries every project into the next.Panopto Workplace Knowledge and Productivity Report, 2018

08 / THE MOAT

Software can be copied, the process and the data cannot

Our moat is how we deliver: the process for every phase, and the experience of making regulation work in practice. Then the record itself: the data from every project, connected. Each pass round the loop adds data and strengthens the links, so the next project starts further ahead. Select any part of the loop.

The stronger the connections, the better the next delivery. And the record stays with you. It does not leave when a consultancy or an engineering team does.

09 / BUILT FOR THE KINGDOM

Runs in Saudi Arabia, as cloud SaaS or on-premise.

Arabic and English in the platform, in the documents it writes and in the software it delivers. No dependency on a single model provider.

NCA ECCPDPLNDMONORACloud SaaSOn-premiseAir-gappedArabic and English

10 / NEXT STEP

See what FORGE can do for you.