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Xbrania method

From diagnosis to your Cerebro AI in production, without losing control.

A method designed for critical AI projects and “AI brain” architectures: clear for leadership, workable for teams and integrated with your current stack.

This is not about “trying AI”, but about deploying an internal architecture and applications that will live for years, evolve with you and reduce unnecessary costs, errors and risks.

Discuss your project See applied case studies

Five phases to get your “AI brain” into production

We move forward with structure, controlled risks and clear metrics at the end of each phase to decide whether to continue, adjust or scale.

Phase 1

Discovery and diagnosis

We understand how you work today and where it makes sense for a Cerebro AI to come into play, speaking with leadership, operations, support and IT.

  • Conversations with leadership, operations, support and IT to align vision and constraints.
  • Clear map of processes, pain points, systems and critical dependencies.
  • Definition of objectives, success metrics and prioritised use cases.
Phase 2

Architecture and solution design

We design the complete solution: central app, AI agents, integrations and workflows, connected to your real data and systems.

  • We define what Cerebro AI does and which tasks it delegates to specialised agents.
  • We design integrations, process orchestration and control points.
  • Data, security, permissions and autonomy plan explained without unnecessary jargon.
Phase 3

Controlled pilot

We test on a small scale, with a well‑defined scope, to learn fast with limited risk and metrics from day one.

  • We choose a specific service, country, site or team where it makes sense to start.
  • We define metrics, success criteria and exit conditions for the pilot.
  • We collect feedback from teams and adjust before extending to more areas.
Phase 4

Rollout and scale‑up

We extend what works to more processes, teams or countries, refining experience, support and system governance.

  • Wave‑based rollout plan, aligned with priorities and internal capacity.
  • Training and change management for operations, support, leadership and IT.
  • Practical documentation focused on use, operation and incident resolution.
Phase 5

Continuous improvement and AI governance

We keep the system alive, adapted to changes in your business, your processes and AI technology.

  • Regular metrics on usage, impact and service quality.
  • Adjustments to agents, rules and workflows based on real feedback from users and leadership.
  • AI governance: roles, risks, guardrails and ongoing communication with key stakeholders.

What you need on your side

For the method to work, we need real involvement from key people. You don’t need a large team, but you do need clear decisions, focus and quality time.

  • A leadership sponsor with decision‑making authority.
  • Someone from operations who knows the day‑to‑day reality.
  • A technical contact (IT or similar) to coordinate integrations.
  • Access to relevant data, processes and tools to map reality properly.

What you can expect from each phase

  • Concrete deliverables: process maps, architecture, prototypes, pilots and actionable rollout plans.
  • Reasonable pace: structured meetings and asynchronous work so as not to block operations.
  • Transparency: clear visibility on what is done, what’s missing and which risks are emerging.
  • Impact: decisions based on business metrics, not only on what is “technically possible”.
Journey

How a Cerebro AI project progresses

From diagnosis to rollout: short steps, clear metrics and a beta‑mode pilot before scaling by area, country or team.

See services that apply this method
01

Diagnosis and objectives

We speak with leadership, operations and IT to set objectives, metrics, process map and first use cases.

02

Design and architecture

We define the central app (Cerebro AI), agents, integrations, data plan and security in language everyone can understand.

03

Beta‑mode pilot

We test on a small scale with clear metrics and exit criteria; we adjust based on real feedback from users and stakeholders.

04

Phased scale‑up

We extend to more processes or sites with training, change management and impact tracking in each wave.

05

Improvement and governance

Regular metrics, guardrails and continuous adjustments so AI stays aligned with the business and your internal policies.

Ready to take the first step?

If this approach resonates with you, we can review a specific process together and see what role a Cerebro AI could play in your organisation.

Schedule a strategy call See case studies See the Cerebro AI concept