Your engineer gets on a call, adds our AI agent, and focuses entirely on solving the customer's problem. When the call ends, the ticket is already documented. The time is logged. Zero clicks. Zero typing.

Every support call ends with engineers doing the same tedious work: writing summaries, creating ticket subjects, setting priority, logging time. It's exhausting. It's revenue-killing. And it doesn't need to happen.
Engineers spend as much time writing tickets as they do solving problems
Every call logged accurately, every minute captured. No more chasing engineers for their hours.
"I didn't become an engineer to be a secretary" — sound familiar?
Four steps. Zero manual documentation.
Opens the ticket, starts the call with the client, and adds AI Voice Assist with one click.
Voice Assist joins the call and follows the conversation in real-time, capturing context, key details, and resolution steps.
100% focus on the customer. No note-taking. No splitting attention. Just engineering.
AI has already written the call summary, created the ticket subject, set priority and classification, and logged the time entry with notes. Done.
No more splitting attention between problem-solving and note-taking. 100% focus on the customer.
Comprehensive time logs with detailed notes. No more reconstructing your day at 5pm. No more lost billable hours.
Properly categorized, prioritized, and documented tickets without human error. Every single time.
Engineers get to do what they were hired to do — solve problems, not push paper.
AI Voice Assist doesn't just save time — it builds a knowledge engine. Every call generates rich, detailed resolution notes that feed directly into your Enterprise Search, making every future problem easier to solve.
AI writes comprehensive ticket notes and resolution details — far richer than any engineer would type manually
Those detailed notes flow into Enterprise Search, building a growing library of real-world solutions
Next time a similar issue hits, any engineer can search and find exactly how it was resolved — in seconds
Every call makes the system smarter. Tribal knowledge becomes team knowledge. New hires ramp faster.
The result: Your knowledge base improves with every single call — automatically. No documentation initiatives. No knowledge management projects. Just engineers doing their jobs, and AI capturing everything.
Engineers spending 15-20 minutes writing tickets after every call
AI creates complete ticket documentation automatically — approval in 30 seconds
Lost billable time because engineers forget to log what they did
Perfect time entries with detailed notes on every single call
Tickets with incomplete info because engineers rush through documentation
Comprehensive, accurately categorized and prioritized tickets every time
Engineers frustrated by administrative busywork instead of solving problems
Engineers focused entirely on what they do best — technical problem-solving
AI Voice Assist handles call documentation. These tools handle everything else — so engineers stay productive across every workflow.
One search across tickets, IT Glue, SharePoint, documentation — instant results from all sources
Instant ticket summaries, resolution suggestions, and similar ticket analysis when tackling issues
User count, contacts, application stack, common issues — all at a glance before engaging
Watch how Voice Assist and performance tracking work together in the TECHS Command Centre
While engineers work hands-free, AI Voice Assist captures intelligence that powers your TECHS Command Centre management insights
Duration, complexity, and resolution patterns tracked automatically
Follow-up rates and first-call resolution signals
Which engineers excel at which issue types
Customer sentiment and interaction quality analyzed
AI Triage, Escalation Detection, Client Health, and Team Performance — all fueled by Voice Assist data
Let engineers focus on solving problems. Let AI handle the documentation. See Voice Assist in action.
Thread and Sidekick are the other engineer-efficiency tools MSPs evaluate most often. Here is the short version of where each fits.
What actually matters in an AI copilot for MSP engineers — PSA-native integration, real-time call assist, auto-documentation.
Real-time call assistance that generates ticket notes, time entries, and resolution summaries — posted straight into the PSA.
The metric separating AI winners from pilots — why 30% deflection is the benchmark and how top MSPs are hitting it.