Enterprise delivery partnerships

Forward-deployed engineering. Accountable for outcomes, not hours.

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.

Where we plug into your team

Embedded FDE

Specialist engineering embedded in your existing team and customer delivery workflow.

Frontier engineering pod

A bounded cross-functional team accountable for a defined production outcome.

Production rescue

Unblock stalled agent integrations, reliability, governance, and deployment.

AI factory partnership

Repeatable multi-client delivery with shared operational and verification standards.

From delivery gap to verified result

01

Discovery

Identify the delivery blocker, customer constraints, and the production outcome worth pursuing.

02

Scope and approval

Agree acceptance tests, commercial terms, access boundaries, and decision owners before work starts.

03

Delivery

Embed in your workflow, build the integration, and report progress, risks, and decisions.

04

Independent verification

Have a reviewer outside implementation check the evidence against agreed acceptance criteria.

05

Handoff

Transfer runbooks, recovery steps, ownership, and agreed support responsibilities to your team.

Production engineering, not prototype theater.

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.

Your boundaries. Explicit controls.

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

Start with the workflow your customer needs.

These examples describe work we can scope together. They are not customer results, vendor endorsements, or certification claims.

AWS / Bedrock AgentCore

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.

Claude / Anthropic

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.

Google Cloud / Gemini

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

Built for practices that already own the customer relationship.

Illustrative engagement scenarios—not customer case studies or claimed partnerships.

AWS and cloud consultancies

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 →

AI practices and integrators

You own solution direction and stakeholder alignment. An embedded engineering pod can address orchestration, MCP tools, evals, observability, and release readiness.

Add delivery capacity →

MSPs and security specialists

Extend existing operational relationships with governed AI workflows, explicit access boundaries, human approvals, and measurable handoff criteria.

Explore co-delivery →

Illustrative delivery blueprint

Embedded in your team. Governed by your rules.

An example engagement architecture, not a claim about a completed customer deployment. Actual boundaries and integrations are agreed during scoping.

01 · Customer environment

Your systems and owners

Customer repositories, cloud accounts, APIs, data, identity, and approval authorities stay under agreed control.

02 · Embedded FTW delivery

Specialist engineering pod

Scoped access, implementation plans, agent and tool integrations, tests, traces, and incident escalation.

03 · Verified outcome

Evidence and handoff

Acceptance tests, deployment evidence, runbooks, known risks, ownership transfer, and operational follow-through.

Illustrative artifact · Not a customer result

What a verified delivery receipt can look like

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.

A partnership designed around customer trust

Customer and IP ownership

Customer relationships remain with the partner. Deliverable ownership and licenses are defined in the signed agreement.

Confidentiality and access

Agree on NDA requirements, scoped credentials, least-privilege permissions, retention, and approved data handling before access.

Delivery authority

Name decision owners, approval checkpoints, escalation paths, and changes that require renewed authorization.

Outcome-based commercial terms

Define the acceptance criteria, release window, dependencies, scope upgrades, and post-release responsibilities in writing.

Delivery partner intake

Frame a real customer challenge

Choose the context and we will carry a structured brief into the existing secure contact journey. Do not include credentials or customer-sensitive data.

Bring us the hard part.

Tell us what is blocked, what production success looks like, and how your team wants to work together.

Start the conversation →