AI only where it works
Models, prices, limits, and policies change. We design the workflow so your business logic stays yours, and providers can change without rebuilding the system.
Every engagement starts with a focused one-time analysis that turns your submitted problem into an implementation-ready plan, including workflow design, control points, boundary decisions, and rollout path.
The workflow should outlast the model provider
The model is only one component. When prompts, routing, evaluation, and business rules are wired directly to one provider, a price change or quality drop becomes an engineering project.
When prompts, routing, and integrations are wired to one provider, a model change is no longer a configuration change. It becomes a rewrite of the workflow and a new round of testing.
Usage grows, rate limits tighten, and pricing changes arrive after the workflow is already depended on. A successful system can become expensive overnight, with no easy way to move the load elsewhere.
Teams avoid switching because they cannot prove another model will preserve quality, latency, tool calls, and behavior. Without a shared evaluation set, every change feels like a production risk.
A workflow tied to one provider inherits every price increase, rate-limit change, and policy decision. As usage grows, those increases compound across every automated step. A provider-neutral model layer lets you change the economics without rewriting the business process.
Architecture
Separate business logic, prompts, evaluation, and routing from model-specific adapters. Each provider can then compete inside a controlled layer, with fallback and human review when confidence drops.
Keep control of the workflow, not just the prompt
We isolate provider-specific behavior behind clear interfaces so you can change models as quality, cost, and policy move.
From problem to implementation-ready plan in seven days
This $2,000 one-time engagement focuses on one important workflow problem, then gives your team a clear path to the next step: addressing the root cause and implementing the right changes.
We document the current process, constraints, stakeholders, and the points where the workflow currently breaks.
We audit the systems, data access, review points, and integration requirements the workflow will need in production.
You get a reviewable implementation blueprint covering workflow logic, models, systems, and human oversight.
After the analysis, we can implement the workflow end to end and maintain it, or stay on as your ongoing AI workflow consulting partner. Implementations start from $4,000.
Continuous support
Whether you need recurring advice on AI workflows, models and vendors, or want us to implement and then maintain your AI workflows, we have a suitable package for each case:
Consulting retainer
No implementation required
For teams building it themselves who want an experienced second opinion on the architecture, the vendors, and the trade-offs before they commit to them.
Implementation maintenance
+ token usage at cost
For workflows we built for you. A live AI workflow needs ongoing maintenance: models change, integrations drift, and edge cases arrive. We keep it working.
Tell us about your workflow problem
Bring us one problem. It might be a manual process you want to automate, or an AI workflow already in production that feels unreliable, unsafe, or held together with tape. We spend seven days on it and hand back an implementation-ready plan: what the workflow should do, where the controls belong, and what it costs to build and run.
If the plan convinces you, we can build it.
What you get
Initial Consultation · one-time · 7 days · $2000
Describe the workflow and where it breaks today. We read every submission ourselves, and if it is a problem we can solve, we send back a short questionnaire and a payment link to start the seven days.