01 You bring
The operating context
The process, business goal, source systems, brand standards, subject-matter expertise, and the people who approve the work today.
Services · Forward-deployed engineering
AI engineers who build with your team.
Turn a real enterprise marketing process into a production workflow. A Draft & Goal engineer works alongside your marketing, operations, and technology teams to design, connect, govern, and launch it—then leaves your team with the system and the know-how to run it.
A scoped implementation engagement with a clear handoff—not open-ended staff augmentation.
What forward-deployed means
Engineering happens close to the people who own the work.
Instead of handing requirements to a distant implementation queue, your process owners and our engineers work from the same workflow map, acceptance criteria, and production constraints.
02 We build together
The production system
Agents, workflow logic, tool connections, evaluation criteria, human review points, and operational documentation.
03 You keep
The capability
The workflows and patterns in your workspace, the agreed connector assets, the documentation, and a team prepared to operate them.
What we build
From one blocked workflow to an operable system.
Each engagement is scoped around the work your team needs to put into production. These are the common building blocks—not a mandatory package.
Custom AI workflows
Design and build multi-step workflows around your real inputs, decisions, brand rules, reviews, and publishing destinations.
Typical output
A tested workflow in Draft & Goal Studio, with defined inputs, outputs, owners, and exception paths.
Connectors and MCP
Connect the workflow to the approved tools and data it needs. MCP is a standard way for AI agents to use approved tools; when it is not the right fit, we can work with native connectors, APIs, or webhooks.
Typical output
The required connection pattern, configuration, and handoff documentation agreed in scope.
Automation migration
Assess selected scripts and automations in Zapier, Make, or n8n, then rebuild the right candidates as governed, observable Draft & Goal workflows.
Typical output
A migration map that distinguishes what to rebuild, retain, retire, or integrate.
Governance engineering
Translate your operating requirements into roles, approval gates, human review, auditability, credential boundaries, and escalation paths.
Typical output
Controls encoded into the workflow and documented for the teams responsible for review.
Evaluation and reliability
Define what a good output looks like, test representative cases, and design the workflow for retries, exceptions, model changes, and human intervention.
Typical output
Acceptance criteria and an evaluation approach your team can keep using after launch.
Ownership and handoff
Build enablement into the engagement through working sessions, architecture decisions, runbooks, and guided operation of the first production runs.
Typical output
An owned workflow, documented operating knowledge, and a clear post-engagement backlog.
One delivery model
AI engineering meets enterprise marketing reality.
A marketing workflow is not only a model call. It carries brand context, audience intent, source-of-truth data, review obligations, channel rules, and performance goals. The engagement brings both sides into one build.
How the system works
- Agent and workflow orchestration
- Model choice, tool use, and structured outputs
- Connectors, APIs, webhooks, and MCP
- Evaluations, observability, and exception handling
- Access, approval, and credential architecture
How the work gets done
- Brand voice, briefs, personas, and knowledge sources
- Content, SEO, campaign, and localization operations
- Review, legal, publishing, and stakeholder chains
- Channel-specific quality and production constraints
- Adoption by builders, reviewers, and process owners
The result
Your team does not have to translate marketing operations for a generic integration team, then explain technical constraints to a marketing agency. Both perspectives shape the same production workflow.
How the engagement runs
A scoped build, with a clear exit.
Scope, milestones, responsibilities, and acceptance criteria are agreed before the build. The length and team shape follow the workflow, integrations, and governance involved.
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Align and select
Map the process, users, systems, constraints, and business goal. Choose the workflow that is valuable, feasible, and specific enough to ship.
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Architect and build
Design the workflow and its data, model, tool, and human-review paths. Build in short working cycles with your process owners.
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Validate and launch
Test representative inputs, exceptions, permissions, and output quality. Launch through the approvals and change process required by your organization.
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Transfer and extend
Run the workflow with your team, complete the documentation and enablement, and agree on the backlog your team or a follow-on engagement can take forward.
One working team, explicit responsibilities
Your team
Process ownership, subject-matter context, system access, internal reviewers, and decisions on risk and readiness.
Draft & Goal
Workflow architecture, implementation, agreed integrations, testing support, documentation, and enablement.
Shared
Scope, acceptance criteria, working reviews, issue resolution, launch readiness, and the handoff plan.
Ownership by design
Built to stay with your team.
The goal is not dependency on a permanent outside builder. Workflows created during the engagement remain in your workspace, and the agreed build assets and operating knowledge are transferred as part of handoff.
Working system
Production workflow configuration, agreed connectors, brand context, approval logic, and evaluation criteria.
Operating record
Architecture decisions, dependencies, credentials and owners, known exceptions, and runbook guidance.
Team enablement
Working sessions for builders, process owners, and reviewers using the workflow in their actual roles.
Next-step backlog
Prioritized improvements, adjacent workflows, and decisions that should follow real production use.
If ongoing help makes sense, it is scoped separately. The handoff does not depend on purchasing an open-ended services commitment.
Production proof
Enterprise marketing workflows, running at scale.
These customer stories show outcomes from production workflows on Draft & Goal. The right targets for your engagement depend on your process, data, controls, and agreed scope.
TotalEnergies
Read the case studyA governed workflow evaluates, rewrites, and publishes prioritized SEO content with human validation.
1,200% Productivity gain on SEO content
- 24 articles per day, up from 2
- 92% reduction in annual content cost
Turo
Read the case studyProgrammatic SEO workflows generate structured, brand-aligned location and vehicle pages from marketplace data.
~$1 Cost per page generated
- Tens of thousands of pages
- Published in hours
FAQ
Questions enterprise teams ask before embedding an engineer.
What is a forward-deployed AI engineer?
A forward-deployed AI engineer works directly with the people who own a business process and the systems around it. For a Draft & Goal engagement, that means designing and building the workflow in your operating context, connecting the required tools and controls, then transferring the system and knowledge to your team.
Is this consulting or staff augmentation?
It is a scoped implementation engagement. We align on a defined workflow, build outputs, responsibilities, acceptance criteria, and a handoff. It is not a strategy deck, and it is not an open-ended request for an extra pair of engineering hands.
Do we need MCP to work with you?
No. MCP is one way for AI agents to use approved tools and data. Depending on your systems and requirements, an engagement can use Draft & Goal's native connectors, REST APIs, webhooks, MCP servers, or a combination.
Can you migrate workflows from Zapier, Make, n8n, or internal scripts?
Yes, selected automations can be assessed for migration. We first determine which logic should be rebuilt, retained, retired, or connected, rather than recreating every legacy step without review.
Who owns the workflows and connectors?
Your team owns what is built during the engagement. Workflows remain in your Draft & Goal workspace, and the agreed connector assets, configuration, and documentation are included in the handoff.
How do you work with security, legal, and IT?
Those stakeholders are included where the workflow requires them. We help translate agreed requirements into roles, credential boundaries, approval gates, human review, auditability, and escalation paths. Your organization retains its review and launch decisions.
How long does an engagement take?
It depends on workflow scope, system access, integration complexity, and governance requirements. After discovery, we define the milestones, responsibilities, and acceptance criteria so the implementation and handoff are explicit.
Do you replace our agency or systems integrator?
No. We can work alongside your internal team, agency, or systems integrator. The engagement clarifies who owns each part of the build and how the resulting workflow will be operated after handoff.
Scope the first build
Bring the blocked workflow.
We'll bring the engineering depth.
Show us the process, systems, and controls around the work. We'll help define a practical first engagement and the handoff it needs.