BECOME EMBED™

Turn an AI priority into a capability ready to operate.

We design and build copilots, AI agents and LLM-powered workflows connected to your organization’s data, tools and systems.

We work from model selection and architecture through APIs, integrations, controls, evaluation, observability and the human-in-the-loop mechanisms required to operate with confidence. An 8–12 week sprint, with the team that will use it every day.

THE PROBLEM

Prototypes that never become operating capability.

The pilot works in the demo and disappears in operation. The model isn’t what fails: what fails is building it next to the real work instead of inside it.

At the end of the project nobody owns the result, the process is unchanged, and there’s no measure to decide whether it deserves to scale.

WHAT CAN BE BUILT

Four forms of capability, one standard.

AI-native workflow

An end-to-end process redesigned with people and agents working together.

Agent or copilot

A capability with explicit limits on autonomy, integration and accountability.

Assisted decision system

An information flow that prepares a high-value decision and keeps it traceable.

AI-native product

A new experience for customers or employees, with its operation behind it.

From blueprint to operation.

THE JOURNEY

BECOME EMBED™ covers O–M–E of the framework.

It can start from an existing blueprint that meets the readiness criteria; it doesn’t require having done BECOME DISCOVER™ with us.

Operating Model Design

Validates the blueprint: roles, agents, data, decisions, exceptions and controls.

Output: Validated Agentic Workflow Blueprint.

Make & Embed

Builds, integrates and takes it into a real environment with hands-on adoption.

Output: A working capability, with ownership.

Expand & Evolve

Measures, governs, transfers and decides whether to iterate, integrate, scale or stop.

Output: Scorecard and scale decision.

UNDER THE HOOD

What sits under an AI-native capability.

MODELS

LLMs, foundation models and multimodal models. Depending on the use case, we evaluate options across OpenAI, Anthropic, Google or other providers.

ORCHESTRATION

Agents, model routing, tool calling, APIs, MCP and workflow orchestration.

KNOWLEDGE

Enterprise data, RAG, grounding, embeddings, vector search and knowledge sources.

INTEGRATIONS

APIs, enterprise applications, identity, permissions and business systems.

CONTROL

Guardrails, evaluations, human-in-the-loop, exception handling and approval points.

OPERATIONS

Observability, tracing, monitoring, versioning, cost governance and runbooks.

HUMAN-IN-THE-LOOP AND CONTROLS

What determines whether an agent can operate is not only the quality of its answers.

It’s who answers for it when it gets something wrong, and what happens with the cases that don’t fit. Those four decisions get made before the first line of code.

Autonomy boundaries

What the system decides, and what a person always keeps.

Exception paths

What happens with what doesn’t fit, and who’s responsible for resolving it.

Quality criteria

How you know an output is acceptable before it reaches the customer.

Permissions and traceability

Who can do what, and how a decision gets reconstructed afterward.

ADOPTION AND CAPABILITY TRANSFER

The work is done when the capability belongs to the company.

Transfer isn’t a training session at the end: the team that will operate the capability takes part in designing and building it. That’s the difference between inheriting something and receiving it.

PROPRIETARY TOOLS

Agentic Workflow Blueprint™

Design roles, agents, data, decisions, exceptions and controls.

Embed Scorecard™

Measure usage, trust, performance, control and value.

Scale Readiness Gate™

Decide whether to iterate, integrate, scale or stop.

DELIVERABLES

What’s left when the sprint is done.

The sprint ends with a capability working in a real environment, with ownership, controls and measurement against business outcomes.

MOVE FROM BLUEPRINT TO AN EMBEDDED CAPABILITY

Bring a prioritized workflow, decision or product opportunity.

We’ll define the right build path — or tell you if a step is still missing before it.