Paid first step
AI-readiness discovery
A focused audit of brand voice, ICP, available data, current tools, and one priority workflow. You receive a baseline, risk map, and a build recommendation you can use with or without me.
WORK WITH AN EMBEDDED AI PARTNER
Build the AI capability. Own the system.
I diagnose one costly workflow, build inside your infrastructure, and stay accountable through adoption and handover.
A rented tool can automate a task. It cannot own the operating problem.
Useful AI work starts with the company context: brand voice, customers, data, permissions, handoffs, and the people responsible for the result.
Three ways to work together
Done-for-you implementation
Embedded AI builds
Lead loops, CRM write-back, research pipelines, agents, approvals, and monitoring shipped into the repository and infrastructure your company controls.
After the first system ships
Ongoing partnership
Maintenance, evaluation, incident review, and supervised improvements for work a solo founder or lean technical team cannot sustainably carry alone.
A common first system
When the bottleneck is follow-up, qualification, or CRM updates, I start with AI workflow automation inside the tools the team already uses.
Forward-deployed, then deliberately removable
I work with the people closest to the process. Each engagement has a bounded operating target, named owners, and an explicit path to independence.
Diagnose the workflow
Map the work, record a baseline, identify failure risk, and agree on what better means.
Build in company infrastructure
Connect the smallest useful system to the existing repository, data, permissions, and handoffs.
Operate with feedback
Add memory, evaluation, monitoring, and human review, then improve from real usage signals.
Stabilize and transfer
Document access, train named owners, resolve failure paths, and hand over normal operation.
A good fit
One recurring workflow is costing a capable team too much time or attention.
The people doing the work can participate in discovery and review.
The company wants integration and ownership, not another isolated AI demo.
Human approval can remain wherever risk or judgment demands it.
Clear boundaries
- No promise that software replaces a role or department.
- No uncontrolled retraining or irreversible autonomous actions.
- No mystery-box handover without documentation and access.
- No permanent retainer hidden inside the architecture.
SECONDARY OFFERING
Web design and SimplySites
When the constraint is the public website or commerce layer, I can bring the same systems approach to the web. SimplySites remains a venture and a focused web offering, not the headline engagement here.
Visit SimplySitesFrequently asked questions
Is discovery required?
Yes for a new build. It creates the shared evidence needed to scope responsibly and gives you a useful recommendation even if the implementation does not continue.
Where does the system run?
The default is infrastructure and accounts the company controls. Exact hosting, model, and data boundaries are decided during discovery.
What does ongoing partnership include?
The scope can include monitoring, evaluation, maintenance, incident review, and supervised iteration. It is agreed separately after the first system has a stable baseline.
When is the engagement complete?
When the agreed workflow is stable, failure paths are visible, documentation and access are complete, and named people can operate it.
Follow the builds before you start one.
The newsletter is the best first step. If a specific workflow is already costing the team, start a project.