Strategy, build, and run for agentic AI
We take you from a single high-leverage workflow to a governed fleet of autonomous agents — assessed, architected, integrated, and operated in production.
- Feasibility & ROI assessment
- Agent architecture & guardrails
- Systems integration
- Production operations
Four ways to engage
Start anywhere on the path — most teams begin with an assessment and grow into an end-to-end build.
AI Readiness & Strategy
Map your workflows, score them for feasibility and ROI, and leave with a prioritized roadmap.
Agent Architecture
Design the topology, action layer, and guardrails before a line of production code.
Build & Integration
Connect agents to your ERP, CRM, databases, and APIs — safely and observably.
Production Scaling
Operate, monitor, and expand the fleet as trust and ROI compound.
Private & Secure AI
On-prem, VPC-isolated, or air-gapped deployments with SOC-grade controls.
Governance & Audits
Risk thresholds, model governance, lineage, and independent AI audits.
How a build runs
A pragmatic, measured path from workflow to fleet.
Assess
We map your highest-leverage workflows and score them for feasibility and ROI.
Architect
We design the agent topology, action layer, guardrails, and human checkpoints.
Deploy
We integrate with your systems and ship to production in your environment.
Optimize
We monitor cost, quality, and lineage, then expand the fleet over time.
Your systems, your perimeter
Most agent demos quietly ship your data to someone else's cloud. We don't. Every engagement is designed for your security posture — whether that's a private VPC, your own hardware, or a fully air-gapped network.
Agents act through a governed action layer: every tool call is logged, every high-stakes step can require human approval, and every decision is traceable end to end.
- On-prem, VPC, hybrid, or air-gapped
- Approval gates on high-risk actions
- Full decision lineage & audit trails
Chatbots vs. agents
Why an action-taking agent is a different category of tool.
| A chatbot | An Automatic.co agent | |
|---|---|---|
| Output | Text answers | Completed work in your systems |
| Memory | Single conversation | Stateful across a workflow |
| Actions | Suggests next steps | Executes them, with approvals |
| Oversight | None | Gates, thresholds, and lineage |
Frequently asked questions
Do you build agents, or just advise?
Both. We assess and architect, then build, integrate, and run the agents in your environment. You can engage us for a strategy sprint or an end-to-end deployment.
Where do the agents run?
Wherever your data needs to live — on-prem, in your VPC, hybrid, or fully air-gapped. We design for your perimeter and compliance from the first call.
Which models and frameworks do you use?
Whatever fits the job — Anthropic, OpenAI, or open-source models, orchestrated with LangChain, CrewAI, AutoGen, Temporal, or a custom framework. We're not locked to a vendor.
How do you keep autonomous agents safe?
Approval gates, risk thresholds, exception handling, full decision lineage, and human-in-the-loop checkpoints — governance is part of the architecture, not an afterthought.
Bring a workflow. Leave with an architecture.
One working session to map your highest-leverage automation and the path to production.