Services
Most engagements start with a 30-min scoping call. Some buyers know exactly what they need built. Others need to start with an assessment to figure out where AI fits. Either path works.
Below: every offering with scope, timeline, and current pricing. Productized assessments are fixed-fee. Build pricing is scope-dependent and confirmed at the kickoff call.
Diagnose
Written deliverables. Fixed scope, fixed timeline, fixed fee. Output: working doc + debrief call.
AI Readiness Assessment
Compact written assessment for SMB ops teams who want the shortest path to AI clarity.
A written assessment of where AI would actually pay off in your business, ranked by impact and feasibility. Honest per-item: if a vendor pre-built already handles a case, the assessment names it and tells you to try that first.
What you get
- AI tool inventory — what you’ve tried, what’s working, what isn’t, what’s missing
- Top-3 friction map ranked by impact and feasibility
- 90-day roadmap with concrete next steps and effort estimates
- Pre-built fit assessment, per-item, with recommendations
- 30-min debrief call walking the assessment together
AI Operations Audit
Comprehensive multi-stakeholder audit for organizations with cross-departmental AI use.
Same shape as the Readiness Assessment, deeper scope. Multi-stakeholder discovery across departments, full inventory and risk map, comprehensive 30-60-90 roadmap, executive readout.
What you get
- Multi-stakeholder discovery (founder, ops, security, finance, IT)
- Cross-department AI tool inventory and risk map
- Top automation opportunities ranked across the whole org
- Full 30-60-90 implementation roadmap
- Executive readout presentation plus written deliverable
AI Governance Audit
For teams using AI tools who need governance, policy, and compliance right, fast.
A focused audit on AI usage, data handling, decision authority, and policy enforcement. Narrower than the full ops audit. Built for teams with a specific compliance horizon — SOC 2, GDPR, state AI laws landing in 2026.
What you get
- AI usage inventory (sanctioned and shadow)
- Data flow audit covering where company and customer data touches AI systems
- Decision authority framework with escalation rules
- Policy gap analysis against your applicable compliance regime
- Enforcement architecture so policy stays operational, not filed and forgotten
Production Readiness Review
For post-MVP startups built with Lovable, Cursor, Claude Code, Replit, V0, or Bolt.
Your prototype works. What you don’t know is what breaks when traffic ramps, when an attacker probes auth, when data goes from 1,000 rows to 1,000,000. This review is the list.
What you get
- Architecture map drawn from your actual code, stack, and data flow
- Top-5 production-readiness gaps ranked catastrophic / serious / monitor
- Security and data-handling review (auth, secrets, PII, third-party sharing)
- Scaling and reliability assessment (10x traffic, 100x data, single-region failure)
- 30-60-90 hardening roadmap with build paths
- 60-min debrief walking the review with your team
Build
Scoped projects. Fixed deliverable, fixed timeline. Scoping happens inside the build, not as a separate paid step.
Workflow Automation Build
For ops teams with one or two specific workflows eating hours every week.
Connect the tools you already run. Eliminate the manual handoffs. Monitor what’s running. If a vendor pre-built handles your case, I’ll tell you and you save the money.
What you get
- One end-to-end workflow built and deployed on your stack (n8n, Zapier, custom API)
- Failure-mode handling for malformed inputs, rate-limited APIs, failed validation
- Runbook documenting trigger, expected output, monitoring approach
- 30-day post-launch support for environment-related issues
AI Agent Build
For recurring judgment tasks: lead qualification, customer follow-up, document extraction, internal Q&A.
Some work isn’t a workflow. It’s a judgment task someone does over and over, where the right action depends on context that varies each time. An agent handles it end-to-end and escalates to a human when it should.
What you get
- One agent built and deployed on n8n + Claude API, or your stack of choice
- Voice and format tuning so the agent matches your business voice and downstream systems
- Escalation logic with full context surfaced for human review
- Runbook and monitoring approach
- 2-week post-launch adjustment window for voice and decision-rule refinement
Back-Office Automation Build
For ops or finance leads with back-office processes eating 5–15 hours per week.
Accounts payable matching, expense routing, invoice ingestion, monthly close, expense categorization. Most SMBs have one or two of these eating their team’s week.
What you get
- One back-office process automated and deployed across your accounting, ERP, or POS systems
- Approval and exception handling with routing rules
- Audit log compatible with your compliance approach, every action traceable
- Runbook and monitoring approach
- 30-day post-launch tuning support for exception patterns
AI Integration
For teams with CRM, support tools, or internal apps that need reasoning embedded — not a separate chatbot.
Put AI reasoning inside the systems your team already uses. CRM enrichment that fires on save. Email triage that runs in your inbox. Document classification that surfaces in your DMS. RAG over your knowledge base accessible from your app.
What you get
- Embedded AI reasoning in one or more of your systems
- Voice and format tuning matching your business and downstream systems
- Confidence and escalation handling so high-confidence auto-applies and low-confidence surfaces for review
- Reasoning audit trail showing what the AI did, why, and what data it used
- Runbook plus 4-week post-launch adjustment window
Knowledge Capture + Wiki Pilot
For teams where knowledge lives in Slack threads, scattered docs, and a few people’s heads.
Raw content — transcripts, articles, emails, half-written docs — gets compiled into structured wiki entries with semantic search over the result.
What you get
- Knowledge audit for one team or domain
- Structured wiki entries built from raw source material
- Semantic search layer over the result
- Runbook for ongoing knowledge ops
Operate
Recurring retainers. Auto-offered after every build. Available standalone.
Monitoring Retainer
Auto-offered after every build. Health checks, drift alerts, monthly tune-up.
Every workflow I build self-monitors. The retainer keeps it that way: health checks, alerting on drift, minor fixes as your stack changes, monthly tune-up call.
What you get
- Health monitoring across the systems I built for you
- Alert routing for failures and drift
- Monthly tune-up plus minor fixes
- Quarterly review of expansion candidates
Implementation Retainer
Embedded operator, biweekly or weekly cadence, active build backlog.
When the work isn’t one project — when you have an ongoing backlog of automations, agents, or integrations to build and refine — the retainer model fits better than serial projects.
Tiers
- Light — $5,000/mo. One active build per quarter, biweekly cadence. Fits a team with one major automation backlog.
- Standard — $8,000/mo. Biweekly cadence, multiple active builds. Enterprise-adjacent.
- Heavy — $12,000–$15,000/mo. Weekly cadence, multiple active builds, ongoing iteration. Enterprise-adjacent.
Advisory Retainer
Monthly call plus async access while your team executes.
Sometimes the right deliverable isn’t a build. It’s having someone to talk to as your team executes. Monthly strategic call plus async access for the questions that come up in between.
Tiers
- Monthly Call — $2,000/mo. One 60-min call per month plus email Q&A.
- Plus Async — $3,000/mo. Same as above plus Slack-equivalent access for deeper async support.
How to start
Every engagement starts with a 30-min scoping call. No prep needed — bring whatever’s on your mind, we’ll figure out together what fits.
Book a 30-min scoping call →