Generative AI

Deploying generative AI with governance to transform operations

Until now, AI accelerated how we deliver. Now, AI is an offering for your business: from strategy to operation, with a proprietary platform and measured results.

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The starting point

The cost of scaling GenAI without a method

  • 5%

    of companies achieve transformational ROI with GenAI

  • 9/10

    proofs of concept die before reaching production

  • 3.5x

    typical ROI when adoption follows a method

Source: Gartner Compass 2026, "Leverage Gartner Agentic Compass to Navigate Complexity"; Gartner, "AI Budgets Soar", 2026.

Challenges

The challenges that are part of the GenAI journey

  • Seeking real efficiency

    integrating AI into operations and measuring results, not just running pilots.

  • Building organizational autonomy

    with technical structure, light governance and clear metrics for daily use.

  • Structuring for strategic scale

    with reference architecture, integration with core systems and consistent governance.

  • Bringing AI into software engineering

    with tools, training and metrics that prove the real gain.

How we work

We don't propose theory. We propose what we've already validated in-house.

Mature operations hit a productivity ceiling. We built and internally validated what it took to break through it, and it's this foundation, already proven in our own squads, that underpins the proposal that follows.

  • Proprietary platform

    Fusion

    UI, Code, Studio, Governance, APIs and Genius: our GenAI platform running internally, with agents, an IDE copilot, governance and governed LLMs.

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  • Field-validated method

    AI-First Engineering

    AI embedded in every stage of the SDLC (UX, PO, DEV, QA), running in our squads for months, with measured results.

  • Continuous measurement

    Team Care

    Auditable Health Score, throughput and failure demand captured straight from Jira: measurable efficiency for 100% of squads.

  • Integrated ecosystem

    Skills, Agents, MCPs

    Specialist agents connected to Jira, Figma, SharePoint and repositories, operating as part of the team, with context on the product and the code.

A validated foundation, not a promise

What runs inside BRQ today is what underpins the proposal to the client.

AI Services

From strategy to operation, with governance and ROI

Our category of offerings for enterprise generative AI adoption, from method to execution.

  • Diagnosis

    AI Governance

    A structured diagnosis of where your company stands, with a 5-axis framework and 4 maturity levels.

  • Execution

    Agent Platform

    Trackable ROI: we co-create the ROI thesis with the client and build on Fusion, 3 to 5 times faster.

  • Service

    Enterprise Conversational

    From idea to production in days, with an AI-guided Workflow Designer and enterprise hardening from day one.

01 · AI Governance

A diagnosis that becomes a roadmap, not just a report

Modular consulting to map the current situation and plan the future, with a 5-axis framework assessed across 4 maturity levels.

  1. Strategy & Drivers: business objectives and priority use cases

  2. Architecture & Accelerators: AI gateway, prompt standards, agents and observability

  3. Risk, Compliance & Security: responsible AI, data protection and auditing

  4. Engagement, Adoption & Enablement: team training and Center of Excellence

  5. Operating Model for AI: roles, responsibilities and maturity level

What we do differently

Maturity frameworks map where you are. We deliver the path: actions prioritized by axis, capabilities that stay with the team, and governance that evolves with the business.

02 · Agent Platform

Every agent passes through 4 gates before production

A selection funnel that filters ideas before investment: the sponsor decides at each gate, we execute, the Portal measures.

  1. 100% of ideas

    Discovery

    Maps the current process with the business area: business rules and data sources.

  2. 30% become an approved thesis

    Decision

    The sponsor signs off on the declared impact, with clear indicators and accountability: a No-Go kills the agent here.

  3. 20% enter build

    Build

    Built on the model gateway, governance and augmented retrieval, with reusable standards and 3 to 5x speed.

  4. 15% arrive with measured ROI

    Production

    Controlled rollout, with ROI measured in the Portal and assisted support.

03 · Enterprise Conversational

From design to a live agent, in hours

You describe what the service needs to do; Workflow Designer models the conversation flow end to end.

  1. Flow Design

    Maps every step of the service, from start to resolution.

  2. Detail & Enrich

    Refines fields, rules and paths for each step.

  3. Knowledge Bases

    Connects the documents and data the agent references.

  4. Agent Personality

    Defines tone of voice, vocabulary and response boundaries.

  5. Safety Rules

    Protects sensitive data and keeps the agent within scope.

  6. Integrations

    Connects the agent to the company's systems and services.

  7. Build & Documentation Agent

    Generates the agent ready to publish, along with documentation.

Cumulative gain

A new agent built from scratch takes 160 to 360 engineering hours. With Workflow Designer, the savings compound with every agent delivered: across 10 agents, that's 1,680 fewer hours.

Covers building the agent, from concept to validated code. Out of scope: infrastructure, corporate security, load testing and ongoing operation, which remain the client's responsibility.

Our track record delivering Generative AI

  • +20

    leadership quadrants in the ISG Provider Lens

  • +600

    active agents in Fusion Studio

  • +400

    connected knowledge bases

  • +10K

    conversations in Fusion Studio (Jan 2026)

04 case studies

Generative AI already in production

Ready to take GenAI from strategy to operation?

Talk to a specialist