Enterprise AI workforce infrastructure

AI that understands your enterprise.

AgentBase connects the systems, policies, history, relationships, and decisions that define how your business runs. Every authorized agent begins with that operating context—not a blank prompt.

Agents work alongside teams, surface what needs attention, and take approved action across systems with source evidence attached.

Permission mirroring
VPC and hybrid-ready
Source-level lineage

Input

Legacy DBs

Input

Company apps

Input

PC context

Input

Agent traces

Enterprise operating memory

Business context every authorized agent can understand and act on.

Entities
Relationships
Events
Policies
Actions

Access

Search

Access

Dashboards

Access

Agent tools

Access

Workflows

Access

APIs

Context enters once. Your AI workforce reasons from the same history, permissions, and operating truth across every interface.

Enterprise AI workforce

AI that becomes part of how work gets done.

A capable enterprise agent needs more than access to data. It needs to understand the organization around the task, recognize what matters now, and know when to act, ask, or escalate.

Learns how the business operates

Builds a working model from systems, decisions, relationships, policies, and outcomes while preserving the source behind every conclusion.

Moves work forward

Finds stalled decisions, prepares the next step, coordinates handoffs, and takes approved actions across the systems teams already use.

Improves with every outcome

Retains the reasoning, feedback, and results behind completed work so the next agent starts with more informed context.

Input layer

Unify the systems where enterprise context already lives.

Legacy databases

Warehouses, Oracle, SQL Server, PostgreSQL, operational logs, and the structured records that already run the business.

Enterprise applications

CRM, ERP, ATS, support, finance, product, internal portals, and custom line-of-business systems.

Employee work context

Inboxes, files, folders, spreadsheets, meeting notes, contracts, approvals, and local desktop work history.

Multi-agent activity

Agent sessions, tool calls, generated artifacts, handoffs, decisions, failures, and human approvals.

Architecture

The operating memory behind an accountable AI workforce.

AgentBase gives agents continuity across systems and time. They can understand what happened, why it matters, who can act, and what should happen next—without losing permissions or provenance.

Traditional enterprise systems connected into a governed AI decision layer

Ingest

Connect structured records, unstructured knowledge, local work context, and agent execution history.

Model

Turn fragments into objects, relationships, lifecycle events, policies, and available actions.

Govern

Bind identity, permissions, lineage, retention, and approval rules to every context object.

Operate

Serve scoped context and actions to agents, dashboards, workflows, APIs, and prompt-built systems.

Agent access layer

One governed workforce. Many ways to work.

The same operating context can meet every team in the interface that fits the mission: dashboards, APIs, agent tools, search, workflows, or complete prompt-built systems.

Executive dashboards

Live command views for revenue, hiring, delivery, risk, support, and product operating rhythms.

Agent tool access

Give internal agents scoped tools to search, reason, write, update, and act across the enterprise context layer.

Prompt-built systems

Generate CRM, hiring, project, finance, support, and operations systems from the same governed source of truth.

APIs and MCP

Expose context and actions to copilots, coding agents, automation platforms, and internal enterprise apps.

Cross-system search

Find the full story behind any account, candidate, project, issue, contract, asset, or decision.

Closed-loop sync

Keep generated workflows, original applications, downstream databases, and agent state aligned as work changes.

Decision domains

Put AI to work across the enterprise lifecycle.

Revenue

Account history, stakeholder maps, product usage, contracts, renewals, support risk, and next-best actions.

Talent

Candidates, interview loops, approvals, scorecards, offer risk, onboarding, and workforce planning.

Delivery

Projects, owners, dependencies, risks, decisions, customer commitments, and executive escalation paths.

Operations

Tickets, vendors, assets, incidents, policies, approvals, finance workflows, and audit-ready work history.

Control plane

Initiative without losing accountability.

AgentBase keeps policy attached to context and action. Agents see only what they are allowed to see, show where their understanding came from, and pause for approval whenever authority requires it.

Permission mirroring from source systems

Identity-aware retrieval for every human and agent

Object-level lineage, provenance, and change history

Retention, redaction, and data minimization controls

Policy-gated actions for high-impact workflows

Deployment patterns for cloud, VPC, and hybrid environments

Enterprise briefing

Bring an AI workforce into a critical workflow.

Start with one high-value operation. AgentBase learns its systems, history, rules, and handoffs, then gives agents the governed context to make progress alongside your team.