AI readiness & workflow audit
Map how work happens today, identify repetitive friction, document data and tool constraints, and separate credible opportunities from expensive distractions.
Readiness scorecard · workflow inventory · risk flagsStudioStart workflow interviewFree plan
AI strategy and implementation
Move from AI interest
to a system that earns its place.
We help founders, solopreneurs, and growing teams choose the right opportunity, model the risk, prove the workflow, and put it into operation. Strategy is available on its own or as the first stage of a complete build.
Discuss your AI strategyA practical transformation path
Start with the work.
Choose technology second.
An impressive demo is not the same as a useful operating system. We begin with the people, process, information, and outcome—then choose an agent foundation, models, integrations, and safeguards that fit.
The result is a plan you can understand: what the agent does, what remains human, how value will be measured, and what happens when something goes wrong.
Consulting and delivery services
Support from first question to managed operation.
AI strategy & roadmap
Prioritize use cases by value, feasibility, risk, and adoption effort—then turn the strongest opportunities into a sequenced 90-day plan.
Use-case ranking · roadmap · ownership and measuresAgent, tool & model selection
Compare build-versus-buy choices, agent foundations, hosted and local models, hardware, total operating cost, and portability before committing to a stack.
Architecture options · proof-of-fit tests · recommendationPilot and proof of value
Build one bounded workflow against real examples, establish a baseline, test with the people who do the work, and define a clear go, revise, or stop decision.
Working pilot · acceptance criteria · measured findingsGovernance, security & responsible use
Define acceptable use, data paths, permission boundaries, human approvals, logs, model/vendor review, incident response, and prohibited actions.
Control map · risk register · governance starter kitImplementation & integration
Connect approved systems, prepare data, configure workflows, test failure paths, document the system, and move from demonstration to dependable operation.
Production workflow · monitoring · documentationTraining & change enablement
Help leaders and users understand what changes, revise operating procedures, train by role, and create a practical support path after launch.
Role-based training · SOP updates · adoption planManaged optimization
Review quality, usage, cost, exceptions, and model changes on a defined cadence, then improve prompts, policies, and workflows as the evidence changes.
Performance reviews · tuning · cost and risk monitoringModel-flexible by design
The best plan is not loyal to a logo.
Different tasks may benefit from different models. We evaluate output quality, privacy, latency, cost, tool support, hardware, and exit risk rather than forcing every workflow onto one provider.
Agent foundations
OpenClaw, Hermes, NVIDIA NemoClaw where appropriate, or another compatible orchestration stack.
Hosted model providers
Options from OpenAI, Anthropic, Google, NVIDIA, xAI, Mistral, and other compatible providers can be evaluated.
Local and open-weight models
We test whether the hardware, model, and workflow actually meet the required quality before recommending local processing.
Routing and fallback
A plan may use one model for routine classification, another for complex reasoning, and a local or backup option for selected work.
Ways to engage
Senior guidance without an enterprise-sized starting point.
Every larger engagement begins with a defined outcome and scope. We do not publish a generic transformation price before understanding the work, systems, and risk.
Agent Blueprint Session
$750A founder-led 90-minute Zoom working session with a clear workflow recommendation, architecture direction, and next-step plan. Move forward within 30 days and the full fee is applied to implementation.
Discuss this engagementAI Strategy Sprint
Call for pricingA fixed-scope discovery and roadmap engagement for a founder or team that needs priorities, governance, model/tool choices, and a phased investment plan before building.
Discuss this engagementPilot & implementation
Scoped after discoveryOne measurable workflow from proof of fit through production, including integrations, permissions, testing, documentation, and launch support.
Discuss this engagementFractional AI product leadership
Call for pricingOngoing senior guidance for organizations that need an AI transformation and product strategy partner without adding a full-time executive role.
Discuss this engagementHow value is judged
Agree on the evidence before the build.
Time
Cycle time, response speed, waiting, and staff-hours associated with the current process.
Quality
Error rate, rework, completeness, consistency, and the number of exceptions a person must resolve.
Growth
Lead response, conversion support, fulfillment speed, customer communication, and work capacity.
Adoption & risk
Actual usage, overrides, incidents, cost, model quality, and whether people trust the workflow enough to keep using it.