Key Highlights
Motadata's AI Studio for ITSM ships pre-built, read-only AI Agents and manager-orchestrated AI Teams, grounded on your Knowledge Collections and governed by built-in PII controls, reachable through the Ask AI button. Smart Suggestions at a Glance Motadata ServiceOps Smart Suggestions trains an AI classifier on your own request history, not generic guesses, to route tickets accurately from the first request inside an ITIL 4-aligned platform.
Resolve multi-step, multi-domain requests through one coordinator, not a relay of disconnected bots.
A designated manager agent assigns subtasks and routes each request to the most capable agent.
It consolidates the outcome into one result.
Built for cross-domain work: onboarding that spans IT, HR, and facilities, or escalations that hand off between specialists.
Out-of-the-box teams, fixed and read-only, governed exactly like individual agents at the team level.
Grounded on the Knowledge Collections and responsible-AI policies attached to the team, so each step stays in scope.
Put purpose-built AI assistants to work. No building, cloning, or training required.
Each agent is an autonomous unit with its own persona, operating principles, knowledge sources, and tools.
Persona, instructions, tools, and name are fixed read-only, so behavior stays predictable from release to release.
Reached by technicians and end users through the Ask AI button in the Technician and Support portals.
Agents can find requests, update records, identify duplicates, research resolutions, and coordinate multi-domain tasks.
Anchor all responses in your organization's own knowledge, not a model's general training.
Three source types in one collection: published Knowledge Base articles, uploaded files (PDF, DOCX, TXT), and crawled websites.
Crawled sources can be internal or external websites.
KB articles stay in sync automatically. Crawled websites can be re-synced on a schedule to stay current.
Organized as Folders, Collections, and Knowledge Sources, then attached to the agents and teams that need them.
"Test the Collection" validates retrieval accuracy before a collection is ever attached to an agent.
Govern what agents may read and say before they go live, no code, no afterthought.
In AI Studio, PII Detection masks or blocks sensitive entities on input, output, or both.
It is one of only two configurable items here, alongside Knowledge Collections.
Under AI Governance, Restricted Topics and Blocked Words stop unwanted subjects and terms from ever appearing in a response.
AI is disabled by default and switched on deliberately, with per-portal access controls under administrator authority.
Configuration changes are tracked, so policy decisions stay auditable over time.
Retrieval runs on the Vector Store configured under Governance, while Governance Analytics shows where the workforce spends.
The Vector Store is administered under Governance, not AI Studio.
It converts text to embeddings stored in PostgreSQL and matches them by cosine similarity for context-aware retrieval.
Its tunable similarity threshold (default 0.70) and result limit (default 5, up to 10) are set under Governance.
Those settings balance precision against recall for each grounded agent.
Inside AI Studio, "Test the Collection" and Preview confirm an agent or team behaves correctly before it goes live.
Governance Analytics tracks AI credit consumption by agent and by team, so cost stays visible.
Intelligence
Standing up a trustworthy assistant means model selection, prompt engineering, tool integration, and retraining, a backlog most service desk teams cannot staff. Absent built-in governance, each new assistant reopens the same two questions about what data it can read and what it may say. Trust becomes a per-project decision repeated again and again.
AI Studio removes both problems at once. Agents and teams are pre-built and governed out of the box, with nothing to train or develop. Personas, tool access, and knowledge boundaries are configured by administrators and enforced by design.
How It Works
Browse pre-built AI Agents and AI Teams in AI Studio. Personas, tools, and instructions are set by design.
Attach Knowledge Collections so agents answer from approved KB articles, files, and crawled web sources.
Retrieval runs on the Vector Store, matching embeddings by cosine similarity against set threshold limits.
Apply PII Detection (Mask/Block), Restricted Topics, and Blocked Words to enforce strict AI governance.
Validate responses via "Test Collection" preview, routing complex requests through AI Team manager agents.
Track AI credit consumption by agent and team in Governance Analytics for full cost and usage visibility.
An AI workforce grounded on your knowledge, governed before it speaks, and accountable for each credit it spends.
Role-Based Value
Deploy an AI workforce, eliminating the need to stand up a data-science function or absorb model-development risk.
Deploy an AI workforce, eliminating the need to stand up a data-science function or absorb model-development risk.
Resolve multi-step, multi-domain requests through manager-orchestrated AI Teams that route each subtask to the most capable agent.
Resolve multi-step, multi-domain requests through manager-orchestrated AI Teams that route each subtask to the most capable agent.
Give technicians and end users an AI assistant through the Ask AI button that answers from your own knowledge, not general training.
Give technicians and end users an AI assistant through the Ask AI button that answers from your own knowledge, not general training.
In AI Studio, configure the two things that shape outcomes: attach Knowledge Collections and set PII masking or blocking.
In AI Studio, configure the two things that shape outcomes: attach Knowledge Collections and set PII masking or blocking.
From Visibility to Control
An AI workforce deployed. No data-science team needed: nothing to build, clone, or retrain.
Multi-step, multi-domain requests resolved from request to completion by a manager-orchestrated AI Team.
Accurate, context-aware answers grounded in your own knowledge through Knowledge Collections and Vector Store retrieval.
Trustworthy AI by default: disabled until enabled, PII masked or blocked, topics and words restricted, all changes versioned.
Clear cost visibility through Governance Analytics, so AI credit consumption is never a black box.
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