Ticket management built for data requests, not IT incidents
Data request tracking means logging, routing, and monitoring every institutional data request from intake to delivery, with an audit trail for each one. ServiceNow, Zendesk, and Dynamics 365 track tickets. Clema answers them: conversational intake and AI-drafted responses from your institutional data, for every request from leadership and across campus.
From our research with 50+ IR/IE professionals across 19 states: 91% of teams struggle with how data requests are managed, and ad hoc requests take up 40 to 60% of team capacity. Read the whitepaper
From the provost, a dean, or anyone on campus. Email, Slack, or web form, one queue.
Asks for the missing cohort, term, and format before the ticket ever reaches your team.
The agent queries your data and drafts a cited response with the charts attached.
Review, edit, send. The ticket closes with a complete audit trail.
Your help desk was never built for this
Data-request tickets are not password resets. They need clarification, a query, and a defensible answer.
Requests come from everywhere
Email, Slack, hallway conversations, and a portal nobody likes. Leadership asks the same questions every cycle, and each one lands on an analyst who already has a full plate.
The ticket tracks the wait
A routine pull can sit for two weeks while it gets routed, clarified, and queued. Clema customers close routine requests in minutes instead of days, because the draft is ready when the analyst opens the ticket.
Scale without adding FTEs
Every new dashboard creates more questions, not fewer. Clema customers report 80%+ backlog reduction and 10+ hours saved per analyst per week, capacity you get back without a new hire.
Generic ticketing tools route the question. They never answer it.
The platforms are well-built for their intended buyers. The mismatch is structural: their buyer is not an IR team.
Built for IT incidents and customer support
Categories, forms, and SLAs assume password resets and refund requests, not "retention by cohort for the provost by Friday". You can configure around it, but the model never fits.
Rigid forms miss the context
A static intake form cannot ask which cohort, which term, or what format. So the ticket arrives incomplete and the first analyst touch is a clarification email, not an answer.
Their AI assists. It does not answer.
Help desk AI summarizes threads and suggests replies from knowledge articles. None of it can query your warehouse, so the part that actually takes the time still lands on an analyst.
Admin overhead lands on IR
Workflows, categories, and knowledge bases need maintaining. On a generic platform, that work falls to the same IR team that had zero spare capacity to begin with.
Clema is the ServiceNow alternative built specifically for institutional research data requests: it manages the queue and produces the answer.
Clema vs ServiceNow, Zendesk, and Dynamics 365
Eight dimensions that decide whether a ticketing platform fits an IR queue.
| Dimension | ServiceNow | Zendesk | Dynamics 365 | Clema |
|---|---|---|---|---|
| Built for | IT service management and enterprise workflows | Customer support and help desks | CRM-connected customer service | IR and IE data requests in higher ed |
| Primary buyer | CIO and central IT | Support and CX leaders | IT and ops teams in the Microsoft stack | The IR or IE director who owns the queue |
| Intake | Service catalog forms and portals | Forms, email, chat widgets | Forms, email, omnichannel | Conversational intake that asks the clarifying questions (cohort, term, format) up front |
| AI capabilities | Now Assist: summarization, agent assist, virtual agents | AI agents and reply suggestions trained on support content | Copilot: case summaries and drafting from CRM context | An AI agent that queries your institutional data and drafts the cited answer with charts attached |
| Higher-ed context | Generic; higher ed via configuration | Generic | Generic | Knows terms, cohorts, IPEDS definitions, and your schema out of the box |
| Institutional memory | Knowledge base articles maintained by admins | Macros and help center articles | Knowledge articles in CRM | Agent-centric SOPs: past tickets become the plans that resolve future ones |
| Setup and admin | Platform implementation with dedicated admins | Faster to start; AI and workflows need configuration | Deploys within the Microsoft ecosystem | Days. Self-serve for the IR team, no platform admin |
| Pricing model | Per-user enterprise licensing, custom quotes | Per-agent tiers; AI often an add-on | Per-user licensing within Microsoft agreements | Free to start; ticketing on Max ($299/mo) and Enterprise |
You only need routing and SLA tracking
- Your campus has already standardized on ServiceNow or Zendesk for ITSM and support, and the IR queue is a minor add-on.
- Producing the answer is not your bottleneck; you only need a place to log, assign, and track requests.
- Central IT handles all platform administration, so configuration overhead never touches the IR team.
The bottleneck is producing the answer
- Most of the time on a ticket goes to clarifying, querying, and writing the response, not routing it.
- The IR or IE director owns the queue and wants it fixed this term, not after a platform implementation.
- You want the same recurring requests answered automatically from past tickets instead of re-pulled by hand.
Everything a ticket system does, plus the part that takes the time
Run the queue end to end without leaving one tool.
Conversational intake
Tickets open as a conversation. Clema collects the cohort, timeframe, and format up front so nothing arrives half-specified.
Responder AI agent
Connected to your warehouse, it drafts the cited answer with charts and tables before an analyst picks up the ticket.
Routing, assignment, and SLAs
Tag, assign, reassign, snooze, and set response targets. The queue mechanics you expect from a ticketing platform are all here.
Agent-centric SOPs
When a request repeats, the resolution becomes a machine-readable plan. The next occurrence resolves from the SOP, not from scratch.
Every channel, one queue
Email forwards, Slack messages, and web form submissions land in the same place. No campus-wide behavior change required.
Audit trail and reporting
Who asked, what was pulled, what was sent, and when. Queue reporting your VP and accreditation reviewers will trust.
How it works
From first connection to a running queue in days.
Connect your data
Link your warehouse or upload datasets so the agent can answer from real institutional data.
Open the intake channel
Share a "Talk to the IR team" link, not a "Raise a ticket" portal. Friendlier ask, better requests.
Clema triages and drafts
Each request is clarified, tagged, routed, and arrives with a cited draft attached.
Your team reviews and ships
Analysts edit and send. Closed tickets become the SOPs that resolve the next ones.
Want the full picture? See how Clema works
Get started today
Try Clema ticketing free, or move to a paid plan as your team grows.
Free plan
Explore Clema ticketing with no commitment
No credit card required
- Free forever, no credit card
- 20 AI conversations a month
- Full access to Clema ticketing data
- Formatted, cited responses
Paid plans
For growing teams and whole institutions
Monthly or annual, no implementation fee
- Pro300 chats, 3 seats$99/mo
- Max1,000 chats, 10 seats$299/mo
- EnterpriseSSO, integrations, SLACustom
Frequently
asked questions
For IR and IE data-request workflows, yes. Clema replaces the part of the queue where someone has to pull data and write the answer. It does not replace ServiceNow for campus ITSM work like incidents, change management, or HR cases.
Keep the campus help desk for what it does well. Route data requests to the tool that can draft the answer. Clema accepts forwarded tickets via email, so requests that land in the wrong queue still end up in the right one.
Help desk AI summarizes tickets and suggests replies based on past tickets and knowledge articles. Clema's agent connects to your institutional data, runs the query, and drafts the cited answer with the charts and tables attached. One assists the responder; the other produces the response.
Days, not a platform project. The IR team sets it up self-serve: connect your data, open the intake channel, and start working the queue. No dedicated platform admins or implementation partners required.
Enterprise ticketing platforms are typically licensed per agent or per user with custom enterprise quotes. Clema is free to start, and ticketing with the request queue is included on the Max plan ($299 per month) and on Enterprise. You're paying for answered requests, not seats in a console.
Yes. Email, Slack, or a web form all land in the same queue. Stakeholders see "Talk to the IR team", not a help-desk portal, and nobody on campus has to learn a new tool.
Every request keeps a who-asked-what-when record: the original ask, the clarifications, the data pulled, and the response sent. When accreditation or leadership asks how a number was produced, the trail is already there.
Stop tracking tickets. Start closing them.
See your own backlog drop in the first month.
Comparing platforms? See Clema vs EAB Edify or dive into the data request workflow.