AI Automation

AI automation pilots start at $4,500 and typically pay back within a quarter. Full multi-workflow programs run $12,000–$45,000 depending on integrations and compliance. Every quote is itemized and capped — no open-ended discovery bills.

A first production pilot ships in 4 weeks — two weeks of discovery and prioritization, two weeks to build, evaluate and deploy behind a feature flag. Scale-up to the rest of your team usually adds 4–6 weeks.

We're model-agnostic. We typically deploy on OpenAI (GPT-4o, o-series), Anthropic Claude (Sonnet 4.6, Opus 4.7), Google Gemini and open-source models via vLLM. We pick the cheapest model that hits your eval bar, then automatically upgrade as better models ship.

No. We deploy through enterprise APIs (OpenAI Enterprise, Anthropic Bedrock, Azure OpenAI) where your data is never used for training. For regulated workloads, we can deploy fully on-prem or in your private VPC.

Three layers: (1) retrieval-augmented generation grounds outputs in your real data, (2) evaluation harnesses run on every prompt change and catch regressions, (3) human-in-the-loop checkpoints handle low-confidence cases. We monitor accuracy in production so you see when it drifts.

Augment. Our most successful projects free senior people from tier-1 work so they can focus on edge cases, judgment and strategy. Customers typically see 40–70% reduction in routine workload, not headcount cuts.

Yes. We integrate with Salesforce, HubSpot, Zendesk, Notion, Slack, WhatsApp, Microsoft Teams and most ERPs out of the box. Custom integrations are part of the standard scope.