Your AI, your rules

Agents, chatbots, and e-commerce assistants — deployed on your data, your infrastructure, live in under a week.

If it's digital, you can connect it.

SlackMicrosoft TeamsZoomJiraAsanaGitHubZendeskConfluenceNotionFigmaSharePointGoogle DriveOneDriveDropboxOutlookGmailGoogle CalendarGoogle AnalyticsExcelSalesforceHubSpotMailchimpShopifySAPQuickBooksLinkedIn more

What the platform actually does

Three core products plus extensions. One platform. Here's how they show up in real business work.

Product What it does Example uses
AI Chatbots Answer Explore chatbots Answers grounded in your knowledge, with source citations your team can verify.
  • Customer support widget with citations
  • Employee handbook Q&A (HR / IT / legal)
  • Product & pricing lookups for sales
  • Policy clarifications on demand
AI Agents Act Explore agents Takes real action in Slack, Jira, Google Workspace, and any digital tool you use — with approval before every write.
  • Month-end reconciliation across accounting tools
  • CRM updates after every sales call
  • File management: route, rename, copy across drives
  • Ticket creation and assignment in Zendesk / Jira
AI Workflows Automate Explore workflows Runs on a schedule or event — no human trigger. Bounded max-turns, full run history.
  • Nightly invoice reconciliation against policy
  • Morning ticket triage drafted before the team starts
  • Inbound email triage (support + sales)
  • Onboarding drip sequences for new hires
Extensions Extend Advanced Explore extensions Pluggable expertise packages + secure code execution for specialist or one-off tasks.
  • Contract review skill (flags renewals, auto-renew clauses)
  • Compliance audit skill (checks docs against frameworks)
  • CSV analysis and automated report generation
  • Document format conversion (PDF ↔ DOCX ↔ Markdown ↔ PPTX)
  • Advanced: build new landing pages or internal microsites on demand

Your work not in the examples? The same patterns apply to any team that juggles multiple tools. Talk to us →

AI Chatbot

Your company's knowledge, instantly accessible

Learns from your documents, drives, and wikis. Answers questions with source citations. Deploys as a customer support widget, internal knowledge base, or both.

Ingests everything you have

Upload files directly or connect your existing sources. The platform re-syncs daily and understands content semantically — not keyword matching.

  • PDFs, Word, spreadsheets, presentations, HTML, Markdown, CSV
  • SharePoint, Google Drive, Notion, Confluence, Jira
  • Website crawling with configurable depth and JS rendering
  • Understands meaning, not just keywords — re-indexed daily

Cited answers, always

Every response references its source document. Users can verify, click through, and trust what they read — no black-box summaries.

  • Inline citations linked to originating document and page
  • Source filter by workspace, tag, or recency
  • "I don't know" fallback when confidence is low
  • Full transcript export for audit and compliance

Deploys anywhere, for anyone

Embedded widget or fullscreen interface. Three ways to let people in. Custom branding per workspace.

  • End-to-end encrypted channel between your site and the service
  • Three access modes: signed-in users, guest sign-up, or anonymous
  • Custom CSS theming, localization, voice input
  • Usage limits per workspace to keep costs predictable

Choose your model

OpenAI, Anthropic, Google, DeepSeek, Mistral, or OpenRouter — configurable per workspace. Switch providers anytime without retraining.

  • Separate model choice for chat, search, and image generation
  • Extended reasoning — dial up depth when the question warrants it
  • Per-workspace cost tracking to compare providers
  • No lock-in — answers survive a provider swap
OpenUI

Answers that aren't just text

The chatbot renders charts, tables, forms, and tabs directly inside the conversation — streamed as the response arrives. When the answer is a dataset or a comparison, the chatbot shows it.

  • Bar · line · pie · radar · scatter
  • Data tables with sort and filter
  • Forms, dropdowns, tabs, accordions
  • Image galleries and code blocks
AI Agent

An assistant that works inside your tools

Connects to the systems your teams already use. Takes real action inside them — not summaries, not suggestions, actual execution through natural conversation.

What the agent can do

Create, update, schedule, search, and manage — across every tool in your stack, through one conversation.

Create Jira tickets with the right labels, priority, and assignee — directly from a Slack conversation. Schedule meetings across multiple calendars with automatic availability checks. Log time in Harvest, generate project reports, send invoices. Pull expense reports from your accounting tool, reconcile them against policy, and draft vendor emails. Post updates to Teams channels, manage OneDrive files, search SharePoint sites.

One agent per team, fully isolated

Each agent gets its own connectors, knowledge base, and permissions — scoped to a business function.

  • Customer support — handles Zendesk tickets and Slack escalations, auto-escalates with context when frustration is detected
  • Finance — pulls expense reports, reconciles invoices, tracks budgets, and answers policy questions from the employee handbook
  • Operations — tracks time in Harvest, manages project budgets, generates reports, coordinates via Google Workspace
  • Any department — configure connectors, knowledge, and permissions for any role in the business

Governance built in, not bolted on

Every action requires explicit approval. Every user authenticates individually. Every workspace is isolated.

A pending → approved → executed workflow with no exceptions. The agent signs into each tool as the individual user — never a shared account — so every action is attributable. The finance agent can't see HR data. The support agent can't access financial records. SSO via Entra ID, Okta, Auth0, Google Workspace, and Keycloak. Full audit trail on every action.

Measurable impact from week one

Teams report 5–8 hours reclaimed per person per week on administrative overhead. For a team of 20, that's the equivalent of 3–4 full-time employees' worth of productive time recovered — from hours previously spent switching between apps and manually moving data between systems.

AI Workflows

Runs on its own, runs on your schedule

Workflows compose the chatbot, connectors, and your knowledge into repeatable processes — triggered manually, on a schedule, or when an email arrives. Bounded, observable, and fully auditable.

Three trigger types

Run manually, on a cron schedule, or when an event fires — your process, your cadence.

  • Manual runs from the dashboard
  • Cron schedules (hourly, daily, weekly)
  • Email triggers (Gmail, Outlook, OAuth-authenticated)
  • One trigger can spawn multiple tasks

Bounded execution

Every run has guardrails. No runaway loops, predictable cost.

  • Max-turns limit per run (default 50)
  • Per-task conversation isolation
  • Respects workspace rate limits
  • Stops cleanly when the goal is met

Full visibility

See every run, every task, every decision.

  • Run list with status, duration, task count
  • Filter and replay individual tasks
  • Full conversation history per task
  • Enable or disable workflows without losing history

Workspace-scoped

Each workflow inherits its workspace's tools, knowledge, and permissions.

  • Uses connected tools in that workspace
  • Respects knowledge-base isolation
  • SSO identity carries to every action
  • Audit trail attributes work to the workflow, not a shared account
Extensions

Plug in expertise. Run code when it helps.

Skills are pluggable expertise packages the chatbot loads when relevant. Sandboxes are the secure runtime that lets it actually do specialist work — analyze files, generate reports, convert formats. Install once, runs forever.

Skills — installable expertise

Each skill is a small package of instructions and resources that teaches the chatbot how to do a specific job well.

  • Open Agent Skills format (compatible with Claude Code, Cursor, Goose)
  • Progressive disclosure: catalog → instructions → resources
  • Workspace assignment — deploy expertise selectively
  • Distributed as .zip archives — easy to share across organisations

Sandboxes — secure code execution

When a task needs real computation, the chatbot runs it inside an isolated container hardened with gVisor kernel-level protection.

  • Pre-loaded runtimes: Python, Node.js, Ruby, Java, Go, Rust, PHP, PowerShell
  • Document converters: LibreOffice + Pandoc
  • Persistent storage across sessions (per user + per workspace)
  • Kernel-level isolation prevents container escape

Install once, runs forever

Progressive loading means your context cost stays low, even with dozens of skills installed.

  • Only the relevant skill loads per conversation
  • No upfront context tax for unused skills
  • Scale expertise across workspaces efficiently
  • Mix pure-prose and sandbox-backed skills in one library

Example skills you can install

A starter library — plus anything your team writes in the Agent Skills format.

  • Contract review (flags renewals, auto-renew clauses)
  • Compliance audit (checks docs against frameworks)
  • Data analysis + report generation from CSV
  • Document format conversion (PDF ↔ DOCX ↔ PPTX)

The platform underneath

What every product shares — the ground every CTO scans for.

Reasoning & model choice

Model-agnostic by design

Pick the model that fits the workload — and swap it when something better ships. Per-workspace configuration for chat, search, and image generation. Extended reasoning when questions need depth. No retraining, no lock-in.

OpenAI OpenAI
Anthropic Anthropic
Google Google
AWS AWS
Microsoft Microsoft
Mistral Mistral
Governance & audit

Every action is approved, attributed, and logged

Pending → approved → executed on every write. The agent signs in as each person, not a shared service account — so every action is attributable. Workspaces are isolated end-to-end — the finance agent can't see HR data, the support agent can't touch customer records.

  • SSO via Entra ID, Okta, Auth0, Google Workspace, Keycloak
  • Full audit trail on every action, with replayable history
  • Per-workspace permission scopes and knowledge isolation
  • Configurable retention and data residency policies
Analytics & cost tracking

See what's working — and what it costs

See every conversation, every action taken, and every decision the model made — with cost tracked per workspace, per provider, per user. You know where budget goes and where to tune. Export everything to your reporting tools.

  • Full record of every conversation — what was asked, what was done, what was returned
  • Spend by model, workspace, and team
  • Budget caps and usage limits per workspace
  • Usage, deflection, and resolution dashboards out of the box
Deployment

Your infrastructure or ours

Run in our cloud for speed, or self-host on yours for sovereignty. Docker Compose for lightweight deployments, Kubernetes or AWS EKS for scale. Your data stays on your servers with configurable retention — the shape regulated industries need.

  • Docker Compose, Kubernetes, AWS EKS reference stacks
  • Run in your own cloud with private model connections
  • Configurable data retention and privacy rules per workspace
  • Live in under a week — we handle setup and onboarding

From kickoff to production in days

A proven deployment process that gets you live fast.

1

Connect your data

Upload PDFs, spreadsheets, and docs — or connect SharePoint, Google Drive, Notion, Confluence, and Jira directly. The platform ingests everything and re-syncs daily so answers stay current.

2

Configure your workspace

Choose your AI model, set the assistant's tone and behavior, define permissions, and connect the tools your team uses. Each workspace is isolated — separate knowledge, separate users, separate rules.

3

Deploy where it matters

Embeddable chat widget, standalone app, Slack, Teams, or API. Supports guest access, authenticated users via SSO, or anonymous mode. Your infrastructure or ours.

4

Monitor and optimize

Conversation analytics, cost tracking per provider, and deep tracing on every response. See what's working, what needs tuning, and where to cut spend.

Platform questions

Common questions about deployment, data, and integrations.

How long does deployment take?

Most deployments go from kickoff to production in under a week with zero involvement from your team — we handle workspace setup, knowledge base ingestion, connector configuration, and onboarding. Custom integrations or bespoke development are the only work that brings your team into the room.

What data sources can I connect?

Upload PDFs, Word docs, spreadsheets, and presentations directly — or connect SharePoint, Google Drive, Notion, Confluence, and Jira for automatic syncing. The platform also crawls web pages with configurable depth and re-syncs sources daily.

Can I use my own infrastructure?

Yes. The platform supports Docker Compose, Kubernetes, and AWS EKS deployment. Your data stays on your servers with configurable retention policies — ideal for regulated industries.

Which LLM providers do you support?

OpenAI, Anthropic, Google Gemini, DeepSeek, Mistral, and OpenRouter — configurable per workspace. You can switch providers at any time without re-deploying or re-training your knowledge base.

How does authentication work?

SSO with Microsoft Entra ID, Google Workspace, Okta, Auth0, and Keycloak. The embedded widget offers three modes: signed-in users, guest sign-up, or anonymous access.

What integrations are available?

If it's digital, you can connect it — Slack, Teams, Jira, GitHub, Google Workspace, Outlook, Zendesk, Harvest, Sentry, SharePoint, OneDrive, Redmine, and more. Agents don't just read from these tools — they take action inside them with approval workflows.

Ready to deploy?

Get started with the Mitigate AI Platform today.

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