Discovery
Map the operation
Run process workshops, identify bottlenecks, capture handoffs, surface exceptions, and score automation opportunities by value, risk, and readiness.
AI automation services
Design and build automation systems around the work people actually do.
For teams moving from vague AI interest to mapped workflows, credible implementation choices, and useful first builds. The operating model is simple: discover the work, advise on the system, then build the first working use case.
Who This Is For
This is for teams that need practical automation judgment, not a generic AI transformation deck. The same process works for a founder-led company, an SMB operations team, or an enterprise group preparing a serious internal automation initiative across finance, HR, IT, operations, sales, or marketing.
Grounded in 20+ years in enterprise technology and seven years inside automation adoption: discovery workshops, stakeholder alignment, governance, queues, operating models, and delivery across business and technical teams.
Operators Teams with messy handoffs
Manual reporting, queue work, repeated research, intake triage, approvals, or process knowledge stuck in people's heads.
Leaders Teams evaluating AI seriously
Groups that need a defensible opportunity map, constraints, governance posture, and implementation path.
Builders Teams ready to operationalize
People who have a process worth improving and need help turning it into a working system.
Front-Door Offer
Workflow Triage Sprint
Map one operational loop before anyone buys a tool or builds a demo.
Best when a team has a process with visible drag: repeated intake, manual reporting, queue work, approvals, research, handoffs, or decisions that keep getting re-litigated.
The output is a practical opportunity map: current flow, bottlenecks, candidate automations, review points, implementation risks, and the clearest next build.
Advisory
Design the system
Translate the map into architecture, tool choices, governance, human review points, success measures, and a buildable implementation scope.
Build
Ship the first use case
Build or guide the first useful automation system: intake, routing, agent instructions, data flow, review artifacts, and operating documentation.
Engagement Types
Automation discovery workshop
Best when the team knows AI could help but needs a clear map of where. Output is prioritized use cases, constraints, and next actions.
Applied automation hackathon
Best when a team needs momentum: structured ideation, viable experiments, and promising concepts turned into practical build candidates.
Implementation advisory
Best when leadership or delivery teams need help with architecture, vendor/tool choices, governance, rollout sequencing, or build scope.
Hands-on build support
Best when the plan needs to become something real: internal tools, agent workflows, automation scripts, reporting systems, or review systems.
Choose the Shape of the Work
The engagement can stay strategic, go straight into a build, or combine both. The useful output depends on where the team is stuck.
Map the opportunity
Workflow map, bottlenecks, ownership, systems, exceptions, value/risk scoring, and a ranked opportunity backlog.
Design the first system
Implementation blueprint covering tooling, architecture, data flow, handoffs, review gates, governance, and rollout sequence.
Build the proof
Working prototype, operating docs, review rules, handoff notes, and an executive-ready summary of what changed.
Start with the messy part
Bring the workflow that keeps creating drag.
Send the process, team, or operational problem you want to improve. I will help turn it into a concrete next step: a discovery workshop, advisory sprint, or first build.