What your teams can do with ArcMantis
Connect your preferred AI tools to your enterprise. Claude, ChatGPT, Copilot, Gemini and other AI platforms — billions in R&D. Your teams want to use them. ArcMantis makes it safe and accurate.
How every AI interaction flows through your enterprise.
AI Chat & Copilots
AI is already talking to your data. Who controls what it sees?
Your employees are connecting AI tools to internal systems. ArcMantis gives them governed access with optimized context. Better results, clear boundaries.
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One set of rules across every AI tool. Every interaction logged.
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Hidden fields don't exist in the AI's context. Nothing to leak. Nothing to prompt around.
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No shadow AI. Governed AI.
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Raw column names become business-meaningful descriptions.
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Table relationships, business terminology, field descriptions. The AI understands your systems, not just your schemas.
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The AI reasons about your data the way your analysts do.
Example use cases
Underwriter queries policy, CRM, and claims.
Governed access across three systems in one conversation. Sees only what their role permits.
Sales manager asks about pipeline.
Gets accurate results because AI understands your field names, not just column headers.
HR analyst surfaces headcount trends.
Department isolation enforced automatically. No exceptions.
Agentic AI Governance
Give your agents real access. With real boundaries.
Without governance, agents are either sandboxed into irrelevance or uncontrolled. ArcMantis gives every agent exactly the access its role requires.
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Agents authenticate like users. Same permissions. Same filtering. Same audit trail.
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Write operations controlled at the field level.
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Every step logged. Not just the outcome, the full execution path.
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Business-meaningful metadata means agents select the right tables, join correctly, return accurate results.
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A join that an analyst understands will break an agent working from raw schema.
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ArcMantis provides enriched metadata so agents choose the right tool and traverse joins correctly.
Example use cases
Reconciliation agent across ERP and finance.
Sees transactions, not employee records. Scoped, logged, enforced.
Compliance agent monitors exceptions across three systems.
No cross-department data exposure at any point in execution.
Customer-facing agent.
Scoped to that customer's data only. Enforced at the field level.
Custom AI Tools
Your AI tools, your rules. ArcMantis governs what they connect to.
Governed MCP endpoints with context-optimized metadata. Developers ship tools without building access control.
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One endpoint per role. Permissions already enforced. Ship faster, ship safer.
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Policy enforced at the MCP layer, not in application code.
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Applies to internal builds and vendor tools equally.
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AI-backed applications that understand your data out of the box.
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Fewer edge cases. Better accuracy. Less support overhead.
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The tool works better for the people using it, not just the people who built it.
Example use cases
Claims triage tool.
Connects to governed endpoint and ships. No permissions layer to build.
Vendor finance assistant.
Scoped to finance data only. Enforced by ArcMantis, not application-dependent.
CRM-embedded AI.
Customer-facing fields only. Nothing more.
AI Guardrails
Your guardrails. Your choice.
Plug in any guardrails tool. It operates on data that is already governed and context-optimized.
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Guardrails run on pre-filtered data. Cleaner inputs. Fewer false positives.
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No redundant access control logic in your guardrails layer.
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Your engineers, your AI consultants, or the ArcMantis team can help connect it.
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Validation tools understand what the data means, not just what it looks like.
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Better inputs to guardrails means better guardrails performance.
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Context-optimized metadata improves accuracy of hallucination checks and output validation.
Example use cases
PII detection on AI outputs.
Runs on already-governed data. Catches what access control can't.
Hallucination checks against source records.
Optimized context improves accuracy of validation.
Regulatory output filtering.
Plugs into the flow. No custom integration required.
One governance layer. Optimized context. Your entire AI stack.
Deploys in weeks. No rearchitecting your tools or your data.