Services · AI Workflow Automation
AI workflows that
keep running.
Multi-step business workflows where LLMs do the reasoning and your team handles the exceptions. Built with eval suites, observability, and human-in-the-loop gates where they matter.
What I automate
Lead generation + outreach
Scrape sources, enrich with LLM-driven research, qualify, draft personalized outbound, send via your sequencer. Built this pattern for VC Automation.
Candidate screening
Parse CVs, score against role criteria, surface top candidates with reasoning, escalate to recruiters with override capability. Built for Xandidate.
Document processing
Extract structured data from PDFs/contracts/forms. Classify, normalize, route. Hand off uncertain items to a reviewer queue.
Customer support triage
Read incoming tickets, classify by intent and urgency, draft responses, route hard ones to humans, auto-resolve easy ones.
Sales enablement
Auto-research prospects before calls, draft proposals from playbooks, post-call summaries into CRM with action items.
Back-office operations
Invoice categorization, expense routing, vendor matching, recurring task automation - quietly powerful once it runs.
The pieces that come standard
Eval suite
A labelled set of real inputs + expected outputs. Run before every prompt or model change. Prompts stop being a guessing game.
Observability
Per-run logs, latency, token cost, model attribution. Dashboard so you actually know what the AI is doing.
Human-in-the-loop
Approval queues, confidence routing, override capture. Pattern catalog in the HITL guide.
Retry + fallback
Idempotent steps, dead-letter queues, model failover via the Vercel AI Gateway. Workflows survive flaky providers.
Pricing
| Scope | Timeline | Price |
|---|---|---|
| Single-step LLM-augmented flow (classification, drafting, summarization) | 1-2 weeks | $3.5K-$12K |
| Multi-step workflow with HITL and observability | 3-5 weeks | $15K-$30K |
| End-to-end automation platform (CRM-integrated, multi-pipeline) | 5-8 weeks | $25K-$60K |
| Hourly retainer for ongoing iteration | Ongoing | $100/hr |
Frequently asked questions
What is AI workflow automation?
Automating a multi-step business process - like lead research, candidate screening, or document review - using LLMs to handle the parts that previously required human judgment. Different from simple Zapier flows because the steps involve reasoning, not just data movement.
Which workflows are good candidates?
Anything high-volume, low-stakes-per-item, and pattern-based: lead enrichment, outbound email drafting, candidate screening, invoice categorization, customer ticket triage, content moderation. Bad candidates: regulated decisions, anything irreversible without human review.
Do you build on n8n, Make, Zapier, or custom code?
Depends on the workflow. Simple cron-style flows live well on n8n. Anything with serious LLM logic, state, or eval needs lives in custom code - usually Next.js + Vercel Workflow or a worker queue. I will recommend honestly.
How do you handle the AI failing or hallucinating?
Every workflow has fallbacks, retries, and human-in-the-loop gates where wrong outputs cost real money. See the human-in-the-loop AI guide.
How much does AI workflow automation cost?
Simple LLM-augmented flows start at $3.5K-$12K. Full multi-step pipelines with eval, observability, and HITL run $15K-$45K. Ongoing optimization at $100/hr.
How long does it take to ship?
Two to six weeks depending on integration count and human-loop complexity. First working version typically in week 2 so you can see the system run on real data.