Embedded FDE
Specialist engineering embedded in your existing team and customer delivery workflow.
Enterprise delivery partnerships
Your customer relationship stays yours. Agency FTW embeds specialist builders alongside your practice to turn complex AI initiatives into governed, production-ready systems with independently verified outcomes.
Specialist engineering embedded in your existing team and customer delivery workflow.
A bounded cross-functional team accountable for a defined production outcome.
Unblock stalled agent integrations, reliability, governance, and deployment.
Repeatable multi-client delivery with shared operational and verification standards.
01
Identify the delivery blocker, customer constraints, and the production outcome worth pursuing.
02
Agree acceptance tests, commercial terms, access boundaries, and decision owners before work starts.
03
Embed in your workflow, build the integration, and report progress, risks, and decisions.
04
Have a reviewer outside implementation check the evidence against agreed acceptance criteria.
05
Transfer runbooks, recovery steps, ownership, and agreed support responsibilities to your team.
We work across agent runtimes, model providers, APIs, MCP tools, workflow automation, cloud deployments, evaluation, observability, and reliability. Architecture and provider selection follow the customer's requirements rather than a fixed vendor stack.
Agree on customer ownership, white-label or co-delivery terms, access scope, human approvals, security expectations, evidence, acceptance criteria, and operational handoff before execution. No unverified certifications or delivery guarantees.
Illustrative integration scenarios
These examples describe work we can scope together. They are not customer results, vendor endorsements, or certification claims.
Connect a customer workflow to approved APIs and data. Scope identity, deployment, tool permissions, and operational traces.
What we would verify
Verify access boundaries, failure recovery, and release criteria in the agreed environment.
Integrate Claude into a document or operations workflow with scoped MCP tools, explicit approval checkpoints, and evaluation cases.
What we would verify
Check tool permissions, escalation behavior, and output quality against the customer's test set.
Connect a Gemini workflow to approved enterprise data and applications with access controls and operational monitoring.
What we would verify
Test grounding against agreed sources, denied-access behavior, and the handoff runbook.
Where collaboration starts
Illustrative engagement scenarios—not customer case studies or claimed partnerships.
Your team owns cloud strategy and the account. We can support scoped Bedrock AgentCore integrations, identity, deployment hardening, and production verification.
Discuss a client opportunity →You own solution direction and stakeholder alignment. An embedded engineering pod can address orchestration, MCP tools, evals, observability, and release readiness.
Add delivery capacity →Extend existing operational relationships with governed AI workflows, explicit access boundaries, human approvals, and measurable handoff criteria.
Explore co-delivery →Illustrative delivery blueprint
An example engagement architecture, not a claim about a completed customer deployment. Actual boundaries and integrations are agreed during scoping.
01 · Customer environment
Customer repositories, cloud accounts, APIs, data, identity, and approval authorities stay under agreed control.
02 · Embedded FTW delivery
Scoped access, implementation plans, agent and tool integrations, tests, traces, and incident escalation.
03 · Verified outcome
Acceptance tests, deployment evidence, runbooks, known risks, ownership transfer, and operational follow-through.
Illustrative artifact · Not a customer result
Outcome
Approved workflow deployed to agreed environment
Acceptance
Test cases and customer sign-off criteria documented
Controls
Tool permissions, escalation, and audit evidence recorded
Handoff
Runbook, owner, and recovery steps acknowledged
This sample describes the proposed evidence format; it does not represent completed work or a performance guarantee.
Customer relationships remain with the partner. Deliverable ownership and licenses are defined in the signed agreement.
Agree on NDA requirements, scoped credentials, least-privilege permissions, retention, and approved data handling before access.
Name decision owners, approval checkpoints, escalation paths, and changes that require renewed authorization.
Define the acceptance criteria, release window, dependencies, scope upgrades, and post-release responsibilities in writing.
Delivery partner intake
Choose the context and we will carry a structured brief into the existing secure contact journey. Do not include credentials or customer-sensitive data.
Tell us what is blocked, what production success looks like, and how your team wants to work together.
Start the conversation →