Here's how it works
Every engagement starts the same way: a 90-day pilot. You test the model, evaluate the results, and decide what's next with real data. No long-term contracts until you've seen it work.
We believe in proof, not promises.
Start with one use case. Define a clear outcome. Test how AI agents perform in your real environment before committing long term.
At day 60, we review real performance data together. At day 90, you decide: continue, scale, or stop. Most clients who complete the pilot expand.
60+
Clients Served
300+
Team Members
78
eNPS Score
<4%
Attrition Rate
We design agents for your workflows
- Discovery session — we map your operations, tools, and pain points
- Identify the highest-impact AI opportunities
- Design custom agents for your specific use cases
- No generic templates — every agent is built from your domain knowledge
Build, deploy, integrate
- AI agents built for your existing stack (Zendesk, HubSpot, Shopify, Slack, custom APIs)
- Trained on your SOPs, escalation patterns, and edge cases
- AI Manager onboarded and embedded in your workflow
- Live in 2-4 weeks from kickoff
AI Manager governs performance
- Daily monitoring of agent output quality
- Weekly 1-on-1 performance reviews and tuning
- KPI tracking against agreed targets
- Exception handling — AI Manager catches what agents miss
- Continuous improvement — agents learn and get better over time
You have the data. You decide.
At day 60, we present performance data against your KPIs. You have 30 days to evaluate. At day 90, you decide: continue with the current scope, expand to new use cases, or stop. No pressure, no lock-in — just results.
Success Stories
Proof in practice: outcomes from co-managed teams across roles and regions.
CX Team for an E-Commerce Brand
Replaced an underperforming 12-person team with a lean AI-managed unit of 7. Improved responsiveness, quality, reduced cost.
Read case studyOutsourcing Sales for a Luxury Design Firm
A 2-person pilot built a prospecting engine that generated qualified pipeline from scratch.
Read case studyOutsourcing the Ops Team for an App Startup
From a single operator to a 9-person AI-augmented ops unit handling day-to-day operations.
Read case study“HKR.TEAM performs at or above our NYC-based staff in the same roles while saving our business close to $2M a year in payroll costs.”
Adam Schwartz
Co-Founder, TeePublic
Frequently asked questions
Common questions about working with HKR.AI.