
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.
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.
Access
Search
Access
Dashboards
Access
Agent tools
Access
Workflows
Access
APIs
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.

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.
