Three ways to work together
Each engagement works the operational layer around your production AI: what it costs and where it fails. Most teams start with an Audit. A few already know what they want built and skip ahead. Others want an ongoing partner instead of a project. If none of these fit cleanly, the first call is where we figure that out.
Start here if you're not sure
Audit
Cost, reliability, and governance review.
Before you commit engineering time to building anything, get a grounded read on where AI and modern automation are likely to pay off, and where they add more risk than they remove. The audit gives you a prioritized list of what to automate, streamline, or leave alone, with the cost and risk weighed behind each recommendation.
Token and model spend gets a hard read here: what the workload actually costs, where it is climbing faster than usage, and which levers move it. That cost-control work carries on into a build rather than ending with the report.
Examples of audit work
Each audit is scoped to your situation. Past engagements have included a mix of:
- Stakeholder interviews to understand workflows and priorities
- Workflow and pipeline analysis to surface strong (and weak) candidates for automation
- Data and system readiness assessment
- Cost and risk assessment for each opportunity
- Documentation and knowledge audit
- Written assessment with prioritized recommendations
- Go/no-go reasoning to guide your next decision
What you get
A prioritized list of where to focus, what to fix first, and whether now is the right time. The exact outputs depend on what we scope.
Who this is for
- Engineering leaders weighing AI and automation but unsure where they pay off
- Teams that adopted AI coding tools and haven't seen the throughput gains land
- Leaders who want an independent read before committing engineering time and budget
Start here if you know what you want to build
Implementation
Phased platform implementation you approve one step at a time.
Once we know the opportunity is real, from an Audit or from work you've already done, we help build the solution: the integrations into your existing systems, the documentation, and time spent training the people who will run it.
Work is delivered in phases. You see real progress at each phase and decide whether to continue, so you never commit to the whole build before you've seen it work.
Cost control runs through the build as well as the audit: model right-sizing, lower token spend, and a governance layer that keeps the bill accountable to a team and a workflow as usage grows.
Common builds include internal tooling, data and integration pipelines, agents and agentic workflows, and the operational systems that keep them running.
Examples of partnership work
Each phase is scoped to its own goal. Past engagements have included a mix of:
- Solution development and engineering
- Integration with existing tools and workflows
- Testing against real scenarios with your data
- Documentation written for your team, not for engineers
- Training for staff who use and maintain the work
- Deployment and launch support
- Transition to ongoing advisory
What you get
Capability your team can run, integrated with your systems and documented well enough to maintain. The exact outcomes depend on the phases we scope.
Who this is for
- Teams with a validated opportunity ready to build
- Engineering orgs that need hands-on help, not just a strategy deck
- Teams that want to build internal capability while the work ships
Start here if you need an ongoing partner
Fractional Expertise
A fractional AI platform engineer on call.
Modernizing how you build and operate is a series, not one project. Keep the data and integrations from the first build reusable for the next, and the capability compounds. Fractional advisory lets you build it gradually, with senior guidance, without hiring full-time.
Examples of advisory work
Cadence and scope are tailored to each engagement. Past partnerships have included a mix of:
- Regular advisory sessions at a cadence that fits your needs
- Strategic guidance on technology, automation, and AI decisions
- Technical architecture review for new projects and vendor proposals
- Team mentoring to build internal capability
- Vendor evaluation and selection support
- Ongoing optimization of deployed solutions
What you get
A technical partner who knows your systems well enough to give you a straight answer, without a full-time hire.
Who this is for
- Engineering orgs modernizing how they build and operate over the medium term
- Growing teams whose complexity is outpacing their platform and process
- Leaders who want senior operational judgment on call without a full-time hire
Not sure which fits?
Tell us what you're working on. We'll tell you whether what you need is the audit, the build, the advisory, none of those, or someone other than us.