Pain Point 01
Teams drown in repetitive triage and status-check tasks.
Operational AI, Not Chatbot Theater
I design and deploy intelligent agents that run operational workflows, coordinate across tools, and escalate with context when a human decision is required.
Problem
Most service teams do not have a people problem. They have a system problem.
Pain Point 01
Teams drown in repetitive triage and status-check tasks.
Pain Point 02
Dashboards show data, but nobody has time to act quickly.
Pain Point 03
Manual handoffs between tools create delays and errors.
Pain Point 04
You want AI leverage without risking reliability or compliance.
Solution
Production-ready systems with clear rules, observability, and escalation when humans need to step in.
Build 01
Agent workflows with clear boundaries, permissions, and escalation policies.
Build 02
Tool-connected execution across CRM, communications, docs, and internal systems.
Build 03
Continuous health monitoring with alerting, retries, and fallbacks.
Build 04
Human-in-the-loop controls for approvals on sensitive actions.
How It Works
Most engagements follow a focused implementation path from bottleneck discovery to measurable deployment.
We scope one concrete operational role with measurable outcomes and explicit safety boundaries.
I implement prompts, rules, and tool access patterns tailored to your workflows.
Agents are connected to existing systems so they can do real work, not just generate text.
We track quality, latency, and impact metrics while tuning behavior over time.
Pricing
Most projects begin with a pilot to prove impact, then expand into broader automation and optimization.
14-Day Automation Pilot
$2,000 – $4,000
Launch one high-impact workflow in two weeks and validate ROI with real production metrics.
Multi-Workflow Build
$5,000 – $15,000
Connect multiple systems and handoffs so your lead, ops, and reporting flows work together end-to-end.
Ongoing Retainer
$1,500 – $5,000/mo
Continuous optimization, reliability monitoring, and new workflow expansion as your business grows.
Agent projects usually begin with a pilot agent, then scale into multi-agent orchestration once ROI is proven.
Related Guides
Practical reads to help you make a confident implementation decision.
Learn where agents outperform standard automation and where they do not.
Read the guide →Practical AI use cases that deliver outcomes in 2026.
Read the guide →Prioritize high-leverage workflows before adding complexity.
Read the guide →Start with one bottleneck
We'll map your highest-leverage workflow, scope the fastest path to ROI, and launch a production-ready solution.