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AI Agents

AI Agents That Run The Work—Under Your Control.

Scoped workers for intake, checks, drafts, and routing—connected to your systems, with review gates and an audit trail.
Book a workflow reviewCost guide

What one agent run does

A defined sequence inside your product—not a chatbot conversation.

  1. 01

    Intake

    Pull the packet or record from your portal, CRM, or queue.

  2. 02

    Rules

    Apply the same policy checks your staff already trust.

  3. 03

    Draft

    Prepare the next action, message, or reviewer packet.

  4. 04

    Gate

    Hold for a person when risk, policy, or confidence requires it.

  5. 05

    Log

    Store inputs, rule versions, outputs, and overrides.

A live pattern: housing intake

Same policy—minutes of manual review versus an agent run with a person on the gate.

Before

Manual review

~15 minutes

typical per application

Offline intake, spreadsheet muscle memory, and one-off email—same policy set, more clock.

  1. 01

    Application intake

    Paper, forwarded PDFs, and ad-hoc attachments that staff re-key into the system of record.

  2. 02

    Find the right packet

    Digging through shared drives and spreadsheets—duplicates, missing pages, version drift.

  3. 03

    Walk eligibility by hand

    Reviewer reads the packet against program rules and types the decision rationale.

  4. 04

    Email the applicant

    Status and next steps written manually—same phrasing reinvented across hundreds of files.

After

Custom AI Agent

~4 seconds

median automated run

Runs where applications already live—signed-in staff, the locations list the product owns, and the application bar the program ships.

  1. 01

    Authenticate in the housing product

    Staff land in one web experience with tenancy and roles already enforced.

  2. 02

    Filter geography, open the applicant

    Structured navigation instead of side channels—context stays attached to the record.

  3. 03

    Agent on the application bar

    Assistive steps with traceable reasoning; reviewers keep override when the program requires it.

  4. 04

    Outcome email in seconds

    Generated and sent through the product stack so delivery stays on the audit trail.

Rough ~225× fold on median wall time for the same steps in this deployment—measurement only; eligibility engine and audit posture unchanged. See the case study for methodology.

Housing intake case studyMore use cases

What we have shipped

Production agents and systems across housing, commerce, and defense-adjacent ops.

View all

Where teams usually start

Same orchestration pattern—different rule sets.

How a build works

One measurable bottleneck first—not a model demo.

01 / 04

Scope

Pick one workflow, success metrics, systems to touch, and what must never auto-run.

Built-in controls

  • Orchestrated steps

    Each agent run is a defined sequence—validate, match, draft, notify—not an opaque model call. Operators see what ran and why.

  • Human-in-the-loop

    Review gates for low confidence, policy-sensitive decisions, or anything that shouldn’t ship without a person.

  • Auditability

    Inputs, rule versions, model outputs, and human overrides stored so you can reconstruct a decision later.

First plant industrial AI pilot

  • One plant workflow with live integrations
  • Supervisor review gates and audit trail
  • Fixed-price path from pilot to production
Industrial AI pilots

Approach & responsibility

  • Explicit scope: what runs automatically vs what needs a reviewer
  • Audit trails your operations and security teams can inspect
  • Fail-safes: low confidence routes to a person—not a guess
Read governance

Questions

Cost, timeline, systems, and how humans stay in control.

Book a workflow reviewCustom AI agent cost guide
What are custom AI agents?
Custom AI agents are purpose-built automation systems that handle specific, repeatable business tasks—like application intake, document review, lead routing, or status communications—with human override and audit trails built in.
How are AUOTAM’s AI agents different from generic chatbots?
AUOTAM builds agents scoped to specific workflows with defined inputs, outputs, and escalation rules—not general-purpose chat tools. Every agent includes traceable steps and human review for low-confidence or high-stakes decisions.
Which industries does AUOTAM build AI agents for?
Housing and lotteries, eCommerce, government, defense-adjacent suppliers, nonprofits, real estate, healthcare ops, construction, education, finance, and logistics—anywhere high-volume work has clear, repeatable patterns.
How much does a custom AI agent cost?
Fixed-price pilots commonly start around $8,000 depending on integrations and risk. Broader builds often land in the mid five figures. See our cost guide for planning ranges by complexity and industry, then book a workflow review for a scoped quote.
How long until something is in production?
A focused pilot with clear scope often lands in weeks to a few months—not a year-long platform program. Timeline depends on system access, rule clarity, and how many review gates you need on day one.
What systems can you connect?
Portals, CRMs, ERPs, document stores, email/SMS, and internal queues. We map integrations during scoping so the agent acts where your staff already work.
Do humans stay in control?
Yes. We design review gates by risk and policy—not by model confidence alone. Low-stakes reversible steps can auto-run with logging; consequential actions hold for a person.

Scope an AI agent for your workflow

Bring one high-volume bottleneck—we’ll map agent steps, review gates, and a fixed-price pilot with clear before/after metrics.

Book a workflow reviewIndustrial AI pilots