Workflow Opportunity Sprint
Identify one recurring, expensive workflow where AI can produce a measurable business outcome—not another demo.
YOU LEAVE WITH
A prioritized workflow, business case and practical build plan.
Taking on a small number of advisory projects
I turn messy data and manual work into measurable outcomes.
I help founders and growth teams find the right job for AI—then turn the consulting playbook into an agentic workflow that gets that job done.
THE WORKFLOWv1.0
01
Find the bottleneckEvidence before automation
SIGNAL02
Prove the outcomeA bounded consulting sprint
PROOF03
Build the loopAgent executes. Human judges.
SYSTEMFOCUS
Agentic AIData strategyData productsWorkflow designOutcome systems
How I can help
Start with one job worth getting done.
Not a broad transformation mandate. A focused engagement with a business result we can observe and improve.
Data-to-Growth Diagnostic
Find where fragmented data, slow decisions or weak feedback loops are limiting marketing and e-commerce performance.
YOU LEAVE WITH
A decision map, intervention points and 90-day action plan.
Agentic Workflow Pilot
Turn a proven consulting playbook into a focused workflow with human approval only where judgment matters.
YOU LEAVE WITH
A working pilot, success metrics and path to repeatable operation.
How I think
AI should reorganize the work—not decorate it.
Models make capability cheaper. Durable advantage comes from proprietary data, accountability for outcomes and a direct customer relationship. I use software to strengthen those assets—not mistake the software itself for the moat.
Explore essays on Substack ↗Start with the outcome
Define the job, the acceptance criteria and the business value before choosing a model.
Own the durable edge
Build around proprietary data, accountability for outcomes and the direct customer relationship.
Keep judgment human
Automate repeatable work while preserving human decisions where context and risk matter.
Close the loop
Capture what happened after every action so the workflow improves instead of resetting.
Use durable data
Run production workflows on permissioned access that will still be there when the prototype becomes a business.
About Bosco
Founder-operator, data strategist and builder.
I co-founded AlikeAudience and have spent more than 11 years building and commercializing data products across audience intelligence, identity resolution, attribution, data clean rooms and AI workflows.
I am most useful when the problem is commercially important but operationally messy: too many manual handoffs, unclear data, or a workflow that starts over every time. I bring a founder’s bias for action, a data modeler’s discipline and an investor’s eye for economics.
FOUNDERAlikeAudience
ANGEL INVESTORAUDIENCES · Bovo.ai
EDUCATIONUC Berkeley · UCL
Frequently asked
The practical details.
What kind of teams do you work with?
Founder-led and growth-stage businesses with meaningful data, repetitive knowledge work and a clear commercial objective—especially in marketing technology, e-commerce and data products.
Is this strategy consulting or implementation?
Both, in sequence. We begin with a bounded problem and an evidence-based workflow design. When the economics are sound, the engagement can continue into an agentic workflow pilot.
What makes a good first project?
One workflow that happens frequently, already consumes human time or budget, has a measurable output and can improve from feedback data.
How do we start?
Send a short note describing the workflow, who owns it today and the result you want. I will reply with whether it is a good fit and the smallest useful next step.
Have a workflow in mind?
Tell me where the work gets stuck.
Send the workflow, who owns it today and the outcome you want. I’ll tell you whether it is a good fit—and the smallest useful next step.
Start a conversation ↗