Enterprise Agentic AI Platform

Turn Enterprise Context into Agentic Execution

dSilo connects AI agents to your contracts, spend, invoices, revenue, policies, enterprise applications, and people—giving agents the context, tools, controls, and workflows they need to execute measurable business outcomes.

Explore the platform
  • Governed tool use & approvals
  • Grounded enterprise context
  • MCP-native interoperability
  • Microsoft Copilot ready
  • Enterprise security & observability

Enterprise Experiences

dSilo ApplicationsProcureGPT · CommercialGPT · Agent Studio
Microsoft CopilotBring dSilo actions into the flow of work
Custom AI ExperiencesAI assistants · enterprise apps · partner solutions

Interoperability & Runtime

MCP Server & Tool CatalogDiscoverable tools · schemas · auth · audit
Agent RuntimeOrchestration · memory · HITL · policies · evals
Context IntelligenceRAG · GraphRAG · ontology · knowledge graph

Systems of Record

Contracts & DocumentsCLM · SharePoint · SFTP · policies · pricing
Transactions & DataERP · P2P · CRM · AP/AR · billing · data platforms
Business ActionsApprove · recover · negotiate · update · monitor

AI Agent Studio

Turn business processes into production AI agents

Configure specialized agents that understand enterprise context, use approved tools, collaborate with other agents, and execute multi-step workflows with human oversight where it matters.

Agent Skills & Tools

Give every agent defined skills, instructions, knowledge, APIs, MCP tools, business rules, and actions—with explicit capability boundaries.

Workflow-First Orchestration

Combine deterministic workflows with bounded agent reasoning, explicit handoffs, stop conditions, retries, and validations.

Context Graph

Connect contracts, suppliers, customers, invoices, SKUs, obligations, pricing terms, and transactions into a queryable business context.

Memory & State

Maintain task context, checkpoints, execution state, approved organizational knowledge, and evidence across long-running workflows.

Human-in-the-Loop

Insert validation, approval, and escalation checkpoints for contractual, financial, compliance, and high-impact decisions.

Evals & Guardrails

Continuously test grounding, tool selection, extraction, reasoning quality, workflow completion, policy compliance, and outcome accuracy.

The dSilo Intelligence Stack

Everything an enterprise agent needs to understand, decide and act

A unified stack spanning frontier models, enterprise context, agent orchestration, tools, memory, evaluation, and production controls.

01

Model intelligence — Multi-model AI

  • Frontier & specialized models
  • Model routing
  • Multimodal reasoning
  • Cost / latency / quality controls

02

Context intelligence — Grounded enterprise context

  • Enterprise RAG
  • GraphRAG
  • Knowledge graph
  • Structured + unstructured data

03

Agent runtime — Reliable orchestration

  • Workflow-first execution
  • Multi-agent collaboration
  • Event-driven agents
  • Durable checkpoints

04

Control plane — Governed production AI

  • Identity & authorization
  • Policies & approvals
  • Evals & observability
  • Auditability
// discover approved dSilo capabilities
server.tools = [
  "search_contracts",
  "get_effective_terms",
  "analyze_supplier_spend",
  "validate_invoice_pricing",
  "create_action",
  "request_human_approval"
];

policy: "least-privilege"
audit: true

Model Context Protocol

Build once, make dSilo intelligence available to any approved agent

dSilo MCP Server turns domain intelligence and enterprise workflows into standardized, discoverable tools that compatible AI agents can invoke with typed schemas, authorization, tenancy, policies, and full audit trails.

  • MCP Server
  • Typed Tool Contracts
  • Tool Catalog
  • OAuth / Enterprise Identity
  • MCP Gateway

Microsoft Ecosystem

Bring dSilo AI agents into Microsoft Copilot

Meet users where they already work. Through MCP and enterprise APIs, Copilot experiences can invoke dSilo procurement and commercial intelligence without forcing users to switch applications.

01 Ask “Show contracts renewing in the next 120 days with above-market payment terms.”
02 Retrieve dSilo grounds the request in contracts, spend, supplier and policy context.
03 Analyze Agents compare terms, transactions, historical behavior and policy.
04 Act Create actions, request approval, trigger workflows or update systems.
05 Continue Open the underlying opportunity, evidence and workflow directly in dSilo.

System of Context

The context layer between enterprise systems and AI agents

Your systems of record were built to store transactions and documents. dSilo connects those records into the context agents need to make traceable decisions.

Systems of transaction
Systems of transaction

ERP · P2P · CRM · AP/AR

Orders, invoices, payments, suppliers, customers, pricing, purchasing activity, billing and revenue transactions.

Systems of documents
Systems of documents

CLM · SharePoint · Policies

Contracts, amendments, pricing schedules, supplier files, playbooks, SOPs and commercial terms.

Agentic Execution

Agents that don't just answer, they execute

Traditional copilots answer questions. dSilo agents continuously identify opportunities, validate evidence, route decisions to people, and execute approved workflows.

01 — ObserveDocuments, events, transactions and changes.
02 — UnderstandNormalize data and build business context.
03 — ReasonApply models, rules, policies and evidence.
04 — DecideDetermine the next-best action.
05 — ActInvoke tools and initiate workflows.
06 — ValidateRules, evals, validation agents and people.
07 — ImproveUse measured outcomes to refine safely.

Connected Enterprise

Connect agents to the systems where business happens

Use MCP, APIs, events, databases, files and secure enterprise connectors to bring context in—and push approved actions back.

SAP
Oracle
Workday
Salesforce
Microsoft Dynamics
SharePoint
NetSuite
HubSpot
Google
Tableau
Power BI
Zoho

Responsible Agentic AI

Give agents capability without giving up control

Enterprise agents need more than intelligence. They need identity, permissions, policies, evidence, validation, and accountability.

Agent Identity

Explicit user, agent and tool identities with least-privilege access boundaries.

Policy Engine

Control what agents can read, recommend, decide and execute based on risk and context.

Observability

Trace retrieval, model calls, tool invocation, latency, costs, errors and outcomes.

Audit Trail

Capture evidence, approvals, tool use and outcomes for traceable enterprise execution.

From AI Potential to AI Execution

Your enterprise has the data, dSilo gives AI agents the context to act on it

Connect contracts, spend, revenue, invoices and enterprise systems. Deploy specialized agents. Expose governed capabilities through MCP. Bring dSilo into Microsoft Copilot and other AI experiences.