Common buildouts
- Lead intake and routing automation
- Document or proposal drafting assistants
- Internal knowledge search workflows
- Reporting and summary automations
Service
AI Ops Quickstart
A focused implementation engagement for SMBs that already know where the operational friction lives and want one practical AI workflow built and launched.
What is included
- Workflow design and implementation plan
- One priority workflow buildout
- Testing, refinement, and documentation
- Basic team handoff and enablement
Good fit when
- You want execution, not more theoretical AI planning
- You need a meaningful first win on the board
- You want a consultant who can connect strategy to rollout
Example Build
What a simple AI Ops Quickstart implementation can look like
This is a composite example showing the kind of focused workflow we can build in a Quickstart engagement. It is an illustrative implementation, not a named client case study.
Example workflow
A recruiting agency wants to reduce the lag between recruiter calls and candidate follow-up, while keeping CRM updates cleaner and more consistent.
What gets built
- Post-call summary generation
- Follow-up draft creation
- Structured CRM update support
What the client gets
One working workflow, scoped around a clear trigger and output, with testing, documentation, and a handoff so the team can use it immediately.
See the full example
Sample quickstart: recruiting follow-up and CRM workflow
Review a simple before-and-after implementation example, including the trigger, outputs, rollout sequence, and success metrics.
Useful if you want a concrete picture of what a 2 to 4 week Quickstart engagement actually delivers.
FAQ
Questions about the AI Ops Quickstart
What kinds of workflows can you build in 2 to 4 weeks?
Lead intake and routing automation, document drafting assistants, internal knowledge search, CRM data hygiene workflows, proposal generation support, and summary automations are all common buildouts. Scope depends on complexity and the tools already in your stack.
Do I need to complete the AI Opportunity Sprint before starting?
Not necessarily. If you already know the workflow you want to fix and have a clear sense of the problem, you can start directly with the Quickstart. If you are not sure where to begin or want a ranked shortlist of opportunities first, the AI Opportunity Sprint is the better starting point.
How involved does our team need to be during the buildout?
We need access to one or two people who understand the workflow well during scoping, and someone to review and give feedback during testing. The rest of the implementation is managed on our end.
What gets handed off at the end?
You receive a working workflow, documentation of how it runs, and a handoff session with the team. The goal is that your team can maintain and iterate on what was built without needing ongoing outside support.
What if the workflow needs changes after launch?
Minor refinements during the engagement window are included. For ongoing iteration, optimization, and additional buildouts over time, the Fractional AI Advisor retainer is the best fit.
Next step
Get your first AI workflow built and live
Share the workflow you want to fix and we will scope a practical buildout that gets your team real automation, a clear rollout path, and a live first win instead of more planning debt.
Project-based pricing with clear scope before work starts
Best fit when you already know the workflow you want fixed