The Core Problem: "Regulatory Debt"
Why technical teams cannot manage compliance alone.
Your engineering teams are focused on latency, accuracy, and throughput. They are not experts in the EU AI Act, NIST AI RMF, or Fundamental Rights Impact Assessments (FRIA).
When organizations force technical teams to handle governance, two things happen:
- The "Black Box" Liability: Systems are built without an AI Bill of Materials (AI BOM), making it impossible to trace the origin of training data or audit for bias.
- Compliance Paralysis: Projects stall for months because Legal doesn't understand the tech, and Tech doesn't understand the law.
You don't need another coder. You need a Regulatory Bridge—a specialized partner who translates "Law" into "Engineering Requirements."
In 2026, the biggest bottleneck in AI adoption isn't technology; it's the language barrier between your Legal Department and your Data Science teams.
- Legal says: "Ensure this system complies with Article 10 of the EU AI Act regarding data governance."
- Engineering asks: "Does that mean I need to retrain the model, prune the dataset, or just change the hyperparameters?"
When these two sides cannot understand each other, you get Compliance Deadlock. The lawyers block deployment because they don't understand the tech, or the engineers deploy "Shadow AI" because they ignore the legalese.
How Our Framework Acts as the Bridge
We function as the interpretive layer between your General Counsel and your CTO. We don't write the Python code, but we write the requirements that shape it.
1. Converting Statutes into User Stories We take abstract legal concepts (e.g., "Transparency") and convert them into concrete Non-Functional Requirements (NFRs) for your engineering backlog.
- Legal Mandate: "Users must be informed they are interacting with an AI."
- Our Translation: "Requirement: The UI must display a visible 'AI System' badge (Hex Code #FF0000) within the chat interface, and the API response header must include X-AI-Generated: True."
2. Embedding Law into the CI/CD Pipeline Compliance shouldn't be a PDF you read once a year; it should be part of the development lifecycle. We work with your DevOps teams to insert Governance Gates into their workflow.
- The Bridge Action: We define the "Acceptance Criteria" for model deployment. If the AI BOM isn't complete or the Bias Score exceeds the threshold defined by legal, the pipeline automatically halts.
3. The "Safe Harbour" for Engineers Your data scientists are terrified of personal liability. We provide them with clear Guardrails.
- Instead of saying "Be Ethical," we provide a specific Data Sanitization Protocol that tells them exactly which PII (Personally Identifiable Information) fields to hash or remove to satisfy GDPR and the AI Act. We take the guesswork out of compliance so they can focus on performance.
Financial Deep Dive: The Cost Comparison
Detailed analysis for the CFO.
In 2026, the average cost of a failed AI pilot is £250,000. Our framework is designed to prevent that loss before a single line of code is written.
| Comparison Metric | Single Compliance Consultant (Day Rate) | Formiti Fixed-Cost Framework (3-Team Model) |
|---|---|---|
| Financial Model | Uncapped Risk. You pay for time. If the audit takes longer, you pay more. Incentivized to extend the "Discovery Phase." | Capped Certainty. You pay a single fixed price for the Outcome (e.g., a certified AI BOM). We absorb the risk of complexity. |
| Skill Scope | The "Unicorn" Problem. A legal expert typically lacks the technical skill to inspect model weights. A technical auditor lacks the legal nuance for the EU AI Act. You get Blind Spots. | The "Full Spectrum" Defense. You get three distinct specialists: A Regulatory Lead (Law), a Technical Documentation Lead (AI BOMs/Data), and an Ethics Lead (Training). No blind spots. |
| Speed of Execution | Serial Processing. They must read the law, then interview engineers, then write the report. One task at a time.. | Parallel Processing. Our Legal Stream audits policy while our Tech Stream builds the AI BOM and our People Stream trains your staff. 3x Faster Time-to-Compliance. |
| The Deliverable | Subjective Advice. "I recommend you improve documentation." Often delivered as emails or red-lined Word docs. | Regulatory Assets. We deliver physical, audit-ready files: The AI Bill of Materials (AI BOM), Conformity Technical Files, and FRIA Reports. |
| Tech/Legal Translation | Friction. The consultant usually sits with Legal, sending confusing demands to Engineering that get ignored. | The Bridge. We translate statutes into Jira Tickets and Non-Functional Requirements. We speak "Engineer," ensuring compliance is built-in, not bolted on. |
| Continuity | Knowledge Drain. When their contract ends, the understanding of why decisions were made leaves with them. | Institutional Memory. We leave behind structured Knowledge Bases and standardized Templates that your team owns forever. |
| Audit Readiness | Fragile. If a regulator investigates, you rely on one person's notes. | Robust. You possess a Defensible Compliance Audit Trail that stands up to scrutiny independently of us. |
2026 Contractor vs Framework
Calculate Your AI Project Savings
Beyond Advice: A Fully Executed Outsourced DPO Solution
Frequently Asked Questions
Clearing the Path to Compliance.
You have questions about liability, integration, and the "real" output of our framework. We have simple, fixed answers.
Q1: If we get fined by a regulator, who is liable?
While no consultancy can legally indemnify a client against all regulatory fines, our framework is designed to provide a
Defensible Position.: We produce the audit trails, AI BOMs, and impact assessments that regulators require. If an investigation occurs, you will not be caught empty-handed; you will have the evidence to prove Due Diligence, which is the primary defense against maximum penalties under the EU AI Act.
Q2: We already have a Legal Team. Why do we need you?
A: Your legal team knows the law; we know how to translate that law into Engineering Tickets. Most internal counsel struggle to tell a Data Scientist exactly how to sanitize a dataset to meet GDPR standards. We bridge that gap. We don't replace your lawyers; we act as their Technical Interpreters, turning their policy memos into actionable Jira backlogs for your developers.
Q3: What exactly do we receive at the end? (The Physical Deliverables)
A: You don't just get a "Strategy Deck." You receive a repository of Audit-Ready Assets:
1: The AI Bill of Materials (AI BOM): A complete inventory of every model, library, and dataset used.
2: The Conformity Technical File: The rigorous documentation required for High-Risk classification.
3: The Ethics Handbook: Training materials and certification logs for your staff. These are tangible files you own, hosted on your internal systems.
Q4: Does this framework slow down our technical teams?
A: No—it actually speeds them up. Without clear guardrails, engineers waste time second-guessing what they are allowed to build. By providing them with clear "Safe Harbour" parameters (e.g., "You can use these 3 datasets, but not that one"), we remove the paralysis. We work in parallel with their sprints, not as a blocker before them.
Q5: We use 3rd party models (e.g., GPT-5, Claude). Do we still need this?
A: Yes, even more so. The EU AI Act holds the deployer responsible, not just the builder. If you wrap GPT-5 into a customer service bot, you are liable for what that bot says to your customers. Our framework focuses on the Application Layer—ensuring that your specific implementation of the model is safe, transparent, and compliant.
Q6: Can we extend the support after the implementation ends?
A: Absolutely. While the Framework is a fixed-cost implementation, many clients transition to our "Governance-as-a-Service" model afterward. For a flat monthly fee, we provide ongoing monitoring of your AI BOMs, quarterly regulatory updates (as laws change), and annual re-certification of your staff.
The Formiti 3-Team Framework: Total Assurance
We don't rely on "Unicorns." We deploy a Phalanx.
Compliance is no longer a single-person job. In 2026, a robust AI Governance strategy requires the synchronization of complex Legal Statutes, deep Technical Architecture, and delicate Human Psychology.
A single "Lone Wolf" consultant cannot master all three. They will inevitably have a blind spot—leaving you exposed.
Our Fixed-Cost Framework eliminates this risk by deploying three specialized teams (streams) that work simultaneously on your project. We don't just give advice; we execute the necessary documentation, audits, and training in parallel, cutting your time-to-compliance by 60%.
The Regulatory & Legal Stream
"The Shield"
Focus: Jurisdiction, Liability, and Risk Classification.
This team functions as your external Regulatory Affairs department. They ensure your AI initiative navigates the complex web of global laws without stalling innovation.
Regulatory Mapping: determining exactly which laws apply (e.g., EU AI Act, UK Data Protection Bill, NIST AI RMF, ISO 42001).
Risk Tiering: Formally classifying your AI system (Prohibited, High-Risk, or Limited Risk) to determine the legal burden of proof.
Policy Creation: Drafting the "AI Acceptable Use Policy" and "Governance Charter" that protects your Board of Directors from liability.
The Technical Governance Stream
"The Bridge"
Focus: The AI Bill of Materials (AI BOM), Data Lineage, and Technical Files.
This team speaks "Engineer." They sit with your data scientists and developers to translate legal requirements into technical reality. They don't write the code, but they write the specs that ensure the code is legal.
The AI BOM: Creating a forensic inventory of every dataset, model weight, and third-party library to ensure supply chain transparency.
Technical Files: compiling the rigorous documentation required for Conformity Assessments before a High-Risk system can go live.
Guardrail Engineering: Defining the Non-Functional Requirements (NFRs) for input/output filtering to prevent hallucinations and toxic content.
The Ethics & Human Stream "The Conscience"
Focus: Bias Testing, Human-in-the-Loop, and Workforce Training.
An AI system is only as safe as the humans operating it. This team focuses on the "Societal" and "Operational" impact, ensuring you pass the Fundamental Rights Impact Assessment (FRIA).
Bias Auditing: Defining the metrics for "Fairness" and helping your team test for discrimination against protected groups.
Oversight Training: Certifying your staff on "Human-in-the-Loop" protocols so they don't fall victim to Automation Bias (blindly trusting the machine).
Change Management: Preparing your workforce for the cultural shift of working alongside Agentic AI.
Is Our AI Framework Compliance Service For You
Whether you are Building custom models, Buying off-the-shelf SaaS, or Scaling existing pilots, our framework adapts to meet your regulatory burden. We don't offer "one-size-fits-all" advice; we offer targeted compliance interventions.
1. For Organizations Building AI (The "Builder" Track)
You are developing internal agents, fine-tuning LLMs, or creating customer-facing bots.
We work alongside your Data Science and DevOps teams to ensure "Safety by Design."
- Regulatory Classification: We formally categorize your use case (e.g., Recruitment, Credit Scoring, Biometrics) to determine if it falls under "High-Risk" per the EU AI Act.
- The AI BOM Construction: We build the forensic inventory of your model's data sources and weights.
- Conformity Assessment: We produce the rigorous Technical File required for CE marking and deployment.
- Adversarial Testing: We verify your guardrails against prompt injection and jailbreaking.
2. For Organizations Buying AI (The "Procurement" Track)
You are integrating 3rd-party tools like Microsoft Copilot, Salesforce Einstein, or specialized HR software.
You may not have built the tool, but under new laws, you are liable for how you use it.
- Vendor Risk Audit: We grill your vendors. We review their documentation to ensure they are compliant, protecting you from supply chain liability.
- Impact Assessments (DPIA & FRIA): We assess how introducing this third-party tool impacts your employees' privacy and fundamental rights.
- Usage Policy Definition: We write the "Rules of Engagement" for your staff—defining what data they can and cannot upload to these external tools.
3. For Organizations Scaling AI (The "Governance" Track)
You have multiple pilots running and need a central Control Tower.
- The Governance Board: We help you establish and charter your internal AI Ethics Committee.
- Workforce Certification: We deliver the training modules required to certify your staff in AI Literacy and Ethical Oversight.
- Post-Market Monitoring: We set up the reporting structures to track model drift and bias continuously after deployment, ensuring you remain compliant in year 2, 3, and beyond.
The Service Deliverables Checklist
Standard inclusions in every Framework Engagement:
✅ Regulatory Applicability Matrix: (EU AI Act, UK, US, Global)
✅ AI Bill of Materials (AI BOM): Full Lineage Documentation.
✅ Risk Classification Report: Prohibited vs. High-Risk vs. Limited.
✅ Fundamental Rights Impact Assessment (FRIA): For Human-Centric AI.
✅ Data Protection Impact Assessment (DPIA): For GDPR Alignment.
✅ Ethical Guardrails Definition: Technical & Operational Controls.
✅ "Human-in-the-Loop" Training Protocols: Staff Certification.
4 SIMPLE STEPS
Rapid Onboarding. Zero Friction.
Move from "Contractor Chaos" to "Framework Certainty" in days, not weeks.
Traditional consulting engagements often suffer from the "Discovery Drag"—weeks of billable time spent just trying to understand your business. We reject that model. Because our Framework is standardized, we bypass the learning curve. We deploy our Legal, Technical, and Ethics streams immediately using our proprietary Ingestion Templates, ensuring we start delivering value on Day 1, not Day 30.
Step 01. The Scope Lock
"Defining the Fixed Cost" We start with a Compliance Triage Call. We assess the maturity of your AI initiative (Build, Buy, or Scale) and define the regulatory boundaries.
- Action: We map your requirements to our Service Menu.
- Outcome: You receive a Fixed-Price Proposal with a guaranteed delivery date. The scope is locked, and the budget is capped. No surprises.
Step 02. The 3-Stream Ingestion
"The Data Upload" Once engaged, we don't waste time with endless meetings. We trigger our Parallel Ingestion Protocol.
Action: Your teams receive secure links to upload relevant documentation: Data Architectures for the Tech Stream, Policy Documents for the Legal Stream, and User Manuals for the Ethics Stream.
Outcome: Our three teams begin their audit simultaneously, without disrupting your engineering sprints.
Step 03: Framework Execution
"The Gap Analysis & Build" This is where the work happens. We operate in short, high-intensity sprints to build your compliance infrastructure.
Action: We generate the AI BOM, write the Conformity Assessments, and draft the Governance Charters. We work asynchronously with your teams, only flagging specific queries via your preferred channel (Slack/Teams/Jira).
Outcome: Draft assets are produced for your internal review.
Step 04. The Asset Handoff
"Ownership Transfer" We don't hold knowledge hostage. We package every deliverable into a centralized Compliance Repository.
Action: Final presentation to stakeholders (Legal, Tech, and Board). We hand over the Technical Files, Training Certificates, and Audit Logs.
Outcome: We exit. You own the assets, the knowledge, and the "Defensible Position." You are ready for deployment.
OUR OFFICES
UK Office
Birmingham, B3 1RB, United Kingdom
Ireland Office
Thailand Office
Baar
Zug
CONTACT US
Formiti
| Subjective Advice. "I recommend you improve documentation." Often delivered as emails or red-lined Word docs. |