AI Agents
Agents that own a process, not a prompt
DBAI builds AI agents that execute defined business processes end to end — reading inputs, deciding against your business rules, acting across your systems, and logging every step for review.
Who it's for
Teams running high-volume work that needs judgment, not just steps: order and returns handling, lead qualification and follow-up, client onboarding and intake — anywhere a fixed script breaks the moment reality doesn't match it.
The problem
Fixed-rule automation breaks the moment a process hits an edge case, missing data, or a call that needs judgment — and stops dead. Conventional AI can process the complexity but hides its reasoning, so you can't audit it, trust it, or explain it to a client.
What we build
What an agent does
- Multi-step process execution
- Tracks state across steps, handles branching logic, and recovers from interruptions without a manual restart.
- Cross-system integration
- Connects via API, browser interaction or direct database access — no wholesale replacement of what you already run.
- Full traceability
- Every action and decision is captured in an execution log: what data was used, what rule was applied, why.
- Approval gates and escalation
- The agent knows when to seek approval, escalate an issue, or notify the right person — it reinforces your business rules rather than working around them.
- Adaptive problem-solving
- Pursues the goal. When conditions change or information is missing, it evaluates alternatives instead of stopping.
How it works
Three layers, one system
PERCEPTION
Collects and interprets incoming information — documents, emails, forms, system data, API payloads — and normalizes it into one workable model.
REASONING
Maps the task against your business rules. Outputs are validated and grounded in verifiable data before anything acts.
EXECUTION
Carries out actions across your systems: API calls, UI interactions, data entry, document generation, workflow steps.
What it connects to
Inputs in, actions out
- Inputs
- DOCUMENTS · EMAILS · FORMS · SYSTEM DATA · API PAYLOADS
- Actions
- API CALLS · DATA ENTRY · DOCUMENT GENERATION · WORKFLOW STEPS · ESCALATION
Getting started
From kickoff to live
- 01
DESCRIBE
Define the work and the goal in plain language. The agent surfaces what access, tools and integrations it needs.
- 02
TEST & REFINE
Runs in review mode — your team evaluates every decision before anything goes live.
- 03
DEPLOY & IMPROVE
Runs autonomously with full audit trails, and improves from operational feedback over time.
Governance
Accountability by design
- Data privacy controls
- The agent processes data within your defined perimeter. Your data is not used to train external models.
- Enterprise access controls
- Role-based permissions, isolated execution environments and audit logs — you control what the agent can see, touch and act on.
- Transparent decision logs
- Every action is logged with full context: what data was used, what rule was applied, what outcome resulted. Reviewable on demand.
Real proof
An agent running in production
Related
See what an agent looks like in production.
Erica is DBAI's own digital worker — built on this same architecture, running today.
See how Erica works