Built on PlantoOS

Enterprise Knowledge Agent

Unified enterprise knowledge retrieval with governed access, memory continuity, and source-backed answers.

Why enterprise knowledge is fragmented

  • Knowledge is spread across documents, internal systems, and operational tools with no unified retrieval layer.
  • Teams lose context between sessions, forcing repeated searches and duplicate analysis.
  • Uncontrolled AI access to internal knowledge creates governance and security risk.
  • Answers often lack source traceability, reducing trust in operational decisions.

What Enterprise Knowledge Agent provides

Unified knowledge retrieval

Search across enterprise documents, tools, and systems from one governed interface.

Knowledge AgentEnterpriseworkspace
active
Show claims approval thresholds for BFSI enterprise accounts

AI Answer

Enterprise claims above $50,000 require dual approval and fraud screening per v4.2 policy. Exceptions are limited to approved platinum accounts under the Jan 2026 addendum (Clause 2).

C-1C-2

Retrieved Sources

DocumentTypeMatchSection
claims-policy-v4.2.pdfPDF0.96§8.1–8.4
finance-access-matrix.csvCSV0.91Row 42–58
ops/approval-playbook.mdMD0.87Full doc
enterprise-addendum-jan-2026PDF0.84Clause 2

Query Details

Sources scanned2,847
Matches4
Latency1.2s
Modelgpt-4o

Access Scope

internal.docs
finance.policies
claims.data

Session

ses-8f2a1b4c-e937

Memory-aware conversations

Persist context across sessions so teams do not re-explain operational details.

Knowledge AgentEnterpriseworkspace
active

Conversation Memory

Persistent context across 37 sessions

Accounts12
Sessions37
Reuse89%

Session History

Jan 22Fast-track exceptions for enterprise payouts3 sources
Feb 03Org-specific threshold override configuration5 sources
Feb 19Dual-review escalation criteria for BFSI4 sources
Mar 08Claims approval thresholds for enterprise accounts4 sources

Context Reuse — Current Query

Recognized prior conversation about threshold overrides (Feb 03). Injected org-specific context without re-prompting.Saved ~4 exchanges.

Memory Objects

Account preferencespersistent
Threshold overridesorg-scoped
Prior query contextsession
Glossary termsglobal

Active Account

OrgBFSI Enterprise
PlanPlatinum
RegionAPAC

Role-based governed access

Apply policy-bounded access controls for every retrieval and answer path.

Knowledge AgentEnterpriseworkspace
active

Access Governance

Role-Based Access Control · Policy v3.1

RBAC Policy Matrix

RoleResourceScopeAccess
Claims AnalystPolicy summaryreadallowed
Finance LeadPayout thresholdsread+exportallowed
Vendor UserPII claim detailsreaddenied
External AuditorAggregated reportsreadallowed

Policy Evaluation Log

Org layerread.internal.docspass
Team layerclaims.finance scopepass
Action layerexport restricted for roledeny
Data layerPII masking enforcedpass

Policy Stack

OrganizationL1
TeamL2
RoleL3
ActionL4
DataL5
SessionL6

Enforcement

Modedeny-by-default
Violations1 blocked
Audit trailenabled

Source-backed responses

Attach references and confidence signals for trustworthy operational answers.

Knowledge AgentEnterpriseworkspace
active

Source-Backed Answer

Enterprise claims above $50,000 require dual-review. Exceptions are limited to approved platinum accounts under the Jan 2026 addendum. The dual-review rule traces to claims-policy-v4.2 §8.1.

Citation Evidence

IDSourceSectionRelevance
C-1claims-policy-v4.2.pdf§8.1 — Approval thresholdshigh
C-2enterprise-addendum-jan-2026Clause 2 — Exceptionshigh
C-3risk-runbook.mdDual-review proceduremedium
C-4audit-note-4421Threshold override historymedium

Answer Metadata

Citations4
Confidence94%
GroundedYes
Modelgpt-4o

Lineage

Query IDqry-4f3a-9b12
Sessionses-8f2a1b4c
Policy ver.v3.1.0

Policy-bound agents

Capability enforcement ensures autonomous systems operate within explicit boundaries.

Governance Flow

Policy-bound agent execution ensures autonomous systems operate within boundaries.

Policy Layer
Agents
Capability Policies
Approved Tools
Enterprise Systems
Denied — policy block

Autonomous systems require explicit boundaries.

Where it sits in the stack

PlantoOS Architecture

The stack relationship between apps, agents, runtime, and systems.

Applications

Products and workflows

Agents

LLM-powered autonomous units

PlantoOS Runtime

Execution · orchestration · control

Capability Layer

Policy enforcement and tool access

Medhara Core

Memory · governance · lineage

Enterprise + Public Systems

Databases, APIs, infrastructure

A new compute layer for systems operated by agents.

Key workflows

How data flows through the system in typical usage patterns.

Workflow 1

Input

Knowledge query from a team member

Core Process

Retrieves context across enterprise systems with policy filtering

Output

Unified response with source-linked evidence

Workflow 2

Input

Follow-up multi-turn conversation

Core Process

Persists conversation memory and role-aware context

Output

Faster answers without repeated re-contextualization

Workflow 3

Input

Governance review request

Core Process

Logs access scope, policy decisions, and cited references

Output

Audit-ready trace of answer generation

Measured outcomes

↓ 30–45%

Internal search time

↑ 20–35%

Knowledge answer confidence

100%

Source traceability coverage

Indicative ranges from internal benchmarks and early deployments; results vary by workload, model, and infrastructure.

How it integrates

SDK-first integration — governed from the first line of code.

1

Connect sources

Link internal tools, docs, and data stores

2

Apply policies

Configure role-based access and usage constraints

3

Launch interface

Deploy governed retrieval assistant to teams