An AI SDR that qualifies IT-services leads
from requirements discovery to a booked meeting.
Supported environments, scope, estimate assumptions — inquiries to IT-services companies are technical from the very first question. Meeton ai responds in 5 seconds, hears out requirements, current environment, and timeline, and automatically drives promising deals to a meeting with an engineer in the room.
Inquiries are technically deep, yet the first response stalls between sales and SEs.
First response to deep, estimate-ready technical questions
"Which environments do you support?" "Can you integrate with our core systems?" "What are the assumptions behind a ballpark estimate?" — inquiries to IT-services firms are technical from the first question. Scenario-based chatbots can't answer, and while sales checks with an SE, the first response slips and interest cools.
Leads with vague requirements left unattended
"Still at the concept stage" or "pre-requirements" inquiries get deprioritized and sit without follow-up. By the time requirements firm up and an RFP goes out, the competitor who stayed in touch through the evaluation gets named — and you don't even make the bidding shortlist.
Direct leads buried under partner-channel deals
When partner-channel deals from cloud vendors and manufacturers dominate revenue, the response setup for direct leads from your own site comes last. Night and weekend inquiries wait until the next business day, and leads mid-comparison flow to faster-responding competitors.
Solving IT Services sales challenges,
with an AI SDR working in concert.
Meeton Chat
The AI converses in real time with leads who visit your site. Carrying the context of their downloads and video views, it answers deep product questions concretely.
"Supported environments, integration track record, estimate assumptions" — it answers the deep technical questions unique to IT services, grounded only in your official information (service materials, case studies, FAQs). Along the way it hears out current environment, requirements, and timeline, identifying in-market buyers early.
Meeton Email
For inquiry emails, the AI replies in place of inside sales and books the meeting. Connected to Slack and HubSpot notifications.
"Could you detail the environment?" "Can we confirm the estimate assumptions?" — the AI replies instantly, even after hours, to the follow-up emails that arrive after an inquiry. It keeps deals warm that used to cool while waiting on an SE's confirmation.
Meeton Calendar
Automatic scheduling integrated with Google Calendar / MS Teams / Zoom. The meeting is confirmed the moment the buyer picks an open slot.
It eliminates the "first sales, then again with an engineer" double take. From the first meeting, the AI proposes the optimal slot across both sales' and engineers' calendars and automatically assembles a meeting with the engineer in the room.
Meeton Library
Based on a visitor's industry, role, and browsing history, it personalizes the best materials, case studies, and videos. It keeps returning leads warm.
For pre-requirements, information-gathering leads, it serves case studies, service materials, and technical resources by challenge theme. Across the long evaluation from concept to RFP, it keeps nurturing with context on every return visit.
Meeton Ads
On-site ads where the AI tailors the best offer to each visitor by page, traffic source, and industry. It keeps learning from clicks and captured leads.
Matched to the service page being viewed (cloud migration / contract development / managed services) and the traffic source, the AI presents the best offer (case-study download / free consultation). Visitors who never open the chat still convert into leads through on-site ads. The AI drafts the ad copy, and only approved ones go live.
Results from the field, told in numbers.
IT & cloud
Monthly SQLs doubled — G-gen (Google Cloud services)
We replaced the 30–60 minutes per inquiry spent on matching, discovery, and scheduling with a new lead channel that identifies in-market buyers early.Read the story
See the same playbook on your own site — 30-minute demo.
See an industry demo in 30 minStrengthen your existing sales stack
without replacing it.
Slack
The internal comms standard at IT-services companies. Notifies sales and SE channels of meeting bookings and hot leads in real time.
HubSpot
The leading CRM/MA for IT-services companies building up inbound. Auto-syncs each lead's requirements and evaluation stage to Contacts / Deals.
Salesforce
The standard CRM at major SIers. Manages partner-channel and direct leads and deals in a single pipeline.
Microsoft Teams
The standard communication platform at enterprise SIers. Unifies internal comms and sales meetings.
Frequent questions from IT Services teams
Q01Can the AI answer technical questions like "supported environments" or "integration with other systems"?
Q02Is it effective for "information-gathering" inquiries where requirements aren't set yet?
Q03Can it automatically coordinate meetings with an engineer (SE) in the room?
Q04Most of our deals come through partners — is there value in deploying it on our direct-sales site?
Q05How does it handle inquiries asking for a ballpark estimate?
Q06Do you have a track record in the IT & cloud industry?
See the AI SDR that turns
IT Services leads into meetings.
In a 30-minute demo, see concretely how Meeton ai responds to
and books your industry's specific lead behavior.