DocIQ runs custom AI agents over document batches in parallel — extracting severity-coded findings, web-grounded research, and structured summaries, then synthesizing them into branded, deduplicated reports. Built multi-tenant on Azure.
Purpose-built for teams that need repeatable, measurable, structured intelligence from large document volumes — not one-off chat answers.
Define specialized agents with custom system instructions, tools (semantic retrieval, Bing grounding, code interpreter, Microsoft 365), and optional knowledge bases — scoped private, org-wide, or global with role-based access.
Agents produce typed results — findings, research, summaries, custom schemas — not free-form prose. Every output is machine-readable, exportable, and consistent across runs.
Describe the shape you want in plain language — "risk score 0–10, likelihood and impact enums, mitigation text" — and an LLM refines it into a precise, versioned, reusable JSON schema with example data.
Download results as branded Word, Excel, PowerPoint, PDF, CSV, or severity charts — or configure agents to auto-generate a file the moment analysis completes. No manual export step.
Upload org-branded templates once (.dotx, .potx, .xltx, .html). Every export automatically applies consistent fonts, headers, footers, and styling — with Jinja2 rendering for dynamic content.
Upload a batch once, select multiple agents, run them concurrently in seconds. The Output Compositor collects every result, deduplicates findings across agents, and renders a unified tabbed report.
Each agent commits to a typed output contract, so results are predictable, comparable, and ready for downstream automation.
Severity-coded issues (high / medium / low / info) with source quotes and suggested actions — ideal for compliance audits, contract risk, and security assessments.
Web-grounded insights with supporting links and citations — perfect for market analysis, due diligence, and competitive intelligence.
Per-document or cross-document summaries capturing key points, decisions, and open questions.
Define your own JSON schema — risk scores, action items, sentiment labels — via the AI-assisted Output Format Designer.
A meta-agent that synthesizes and deduplicates outputs from every worker agent into one unified report envelope.
Turn structured outputs into board-ready deliverables — or feed them straight into your BI and automation pipelines.
Agent-generated files. Configure any agent to auto-produce a file on completion — DocIQ generates and downloads it the moment analysis finishes. Enterprise templates mean every output inherits your organization's fonts, headers, and styling, applied automatically across all tenants.
Upload a batch of PDFs, Word, or Excel files — or connect a SharePoint folder — then pick one or more agents to run.
Worker agents execute concurrently against the document set, each producing its typed structured output with live progress updates.
The Output Compositor deduplicates and merges every result into one tabbed report — ready to review, export, or automate.
Contract risk scoring, compliance-gap identification with severity coding, and clause extraction at batch scale.
Batch audits for GDPR, SOX, and HIPAA — policies, procedures, and controls with structured findings for remediation tracking.
Multi-agent research synthesis, risk-registry generation, and deal-decision support across large data rooms.
Standardized contract scoring, risk heat maps, and automated questionnaire analysis across suppliers.
Convert unstructured documents into structured JSON/CSV datasets for BI tools, dashboards, and automation.
Three-tier visibility (private / org / global) with database-level tenant isolation and Entra ID single sign-on.
Provisioned as a managed application — PostgreSQL, Blob Storage, Azure AI Foundry, and Entra ID sign-on, all in your subscription.