Customer support copilots
Deflect repetitive tickets with a chatbot or agent-assist layer on your help center and CRM.
- Help-center + ticket context
- Escalation rules & tone controls
- Deflection & CSAT tracking hooks
Production AI · 2–4 weeks
Ship production AI on the stack you already run.
I help DTC and B2B SaaS teams ship chatbots, knowledge-base RAG, and workflow automation—without rebuilding your product. Fixed-scope pilots. Clear handoff. Measurable outcomes.
2–4 wks
Typical pilot to first production surface
placeholder · replace with your metric
1 surface
One high-ROI workflow per pilot—expand after proof
scope discipline · not a rewrite
Handoff
Docs, logging, and a runbook your team can own
no black-box lock-in
Services
Three ways I ship AI into your product
Narrow scope. Production handoff. No rebuild of your stack—and no fake client logos here. Results go up when you have them.
Knowledge-base RAG
Retrieve-then-generate over docs, FAQs, and SOPs—with evals, monitoring, and safe fallbacks.
- Chunking & retrieval tuned to your corpus
- Citations & refusal when unsure
- Eval set + regression checks
Workflow automation
LLM steps inside order, ticket, and CRM flows—validated against your APIs before go-live.
- API-first integration
- Human-in-the-loop where needed
- Logging & replay for debugging
Process
How a pilot actually runs
A short pilot first. Expand only after you see results in production.
01 · DAYS 1–2
Scope & audit
Map docs, APIs, and the one surface with the best ROI. Lock acceptance criteria.
02 · WEEK 1
Build the pilot
Wire retrieval or automation into your existing stack—Next.js, Python, or yours.
03 · WEEK 2–3
Harden & eval
Evals, edge cases, rate limits, logging. Fix what real traffic would break.
04 · HANDOFF
Ship & own
Docs, runbook, and monitoring so your team runs it without me in the loop.
Proof
Demo & metrics (coming soon)
No invented case studies. Add your live demo and numbers here once ready.
Live demo placeholder
Drop in a public demo URL and a 60-second walkthrough when you have them.
[Demo link] · [60s video]
RAG Q&A
Support copilot
Your stack
Case metrics placeholder
e.g. response time ↓ · ticket deflection ↑ · handle time ↓
Before / after · sample size · date
Pricing
Sample pilot pricing
Transparent ranges so you can decide fast. Final quote after a short scoping call.
Hourly
Exploration & overflow work
$50–80 / hour
- Flexible exploration
- Integrations & debugging
- Weekly written updates
Most popular
Fixed pilot
One production surface, end to end
$2,500–6,000 / project
- 2–4 week delivery
- One high-ROI surface
- Docs + monitoring handoff
- 30% deposit to start
Retainer
Keep improving after launch
$1,500–3,000 / month
- Ongoing improvements
- Eval & prompt tuning
- Priority support window
Ready for a 15–20 min look?
Email [email protected] — say what stack you run and which workflow hurts most.
FAQ
Common questions
Straight answers before you book a call.
Do I need to rebuild my stack?
No. Pilots plug into what you already run—APIs, help center, CRM, or app backend. The goal is a production feature, not a greenfield rewrite.
What does a typical pilot include?
One scoped surface (e.g. docs RAG or support copilot), integration against your APIs, basic evals/logging, and a handoff pack so your team can operate it.
How fast can we start?
After a 15–20 min scoping call and a signed brief with acceptance criteria. Many pilots start within a week of deposit.
Who owns the code and models?
You own the project artifacts delivered under the engagement. Model API keys stay in your accounts; I don’t hold long-term custody of your data.
Is this a guarantee of revenue or ticket deflection?
No. Outcomes depend on your data quality, traffic, and process. I commit to scoped delivery and measurable instrumentation—not fabricated case studies.