01
Map the real work
We inspect the workflows your team repeats: inboxes, CRMs, spreadsheets, finance ops, support queues, docs, and handoffs.
AI Automation Audit
The audit is the first step before any private AI build. We identify the repetitive workflows, data boundaries, connector paths, and first pilot that can create a real operational win.
You receive
Workflow map of repetitive operator work
Automation opportunity scorecard
Private AI architecture recommendation
Connector and data-boundary plan
Pilot roadmap with effort, risk, and expected time saved
Method
01
We inspect the workflows your team repeats: inboxes, CRMs, spreadsheets, finance ops, support queues, docs, and handoffs.
02
We classify which data should stay on private infrastructure, which actions need approval, and which tools can use client-owned API keys.
03
We score opportunities by hours saved, integration complexity, business risk, and speed to a reliable first win.
04
You receive a pilot plan with stack choices, connector paths, operating rules, and a phased implementation estimate.
Request
Share the workflow, tools, and current manual steps. We will respond with next questions and an audit fit assessment.
No. The Deltabits stack uses an OpenClaw-style private agent layer for agent control and channels, plus a self-hosted automation layer for broad business app actions.
No. We map connector availability during the audit. Common apps can use existing connectors, while niche systems may need webhooks, APIs, or custom adapters.
The plan is designed to avoid that by default. Some workflows can run on local/self-hosted models, and provider-based workflows use client-controlled configuration and explicit boundaries.
You get a pilot roadmap. You can implement it with Deltabits, hand it to your internal team, or use it as a technical brief for another vendor.