Team request“Prepare this week’s client follow-ups.”
A colleague asks in the place the team already uses.
Your AI workforce, alongside your people
More hands for the work that never stops.
Give recurring work to AI teammates with clear responsibilities. Your people stay involved in the decisions that matter, while the business keeps moving.
Built around your team. Available where they already work.AI teammate at workThe first drafts are ready.
It uses the information and instructions you approved.
Human decisionReview before anything goes out.
The owner can change, approve or stop the work.
People lead. AI teammates take on the repeatable work.One team, clearer capacity, visible responsibility.
What UseGlic is
An AI workforce shaped around real business roles.
Businesses have long added people to meet demand. UseGlic gives teams another way to expand capacity: bring in AI teammates for defined work, give each one an owner and clear boundaries, and let people focus on judgement and relationships.
Accounts support
Prepare invoice details, reconciliation notes and follow-up drafts for review.
Project reporting
Bring updates, owners and blockers into a draft the project lead can check.
Customer support
Prepare answers from approved information and bring exceptions to a person.
Operations
Keep recurring requests and handovers from losing their context.
From role to reliable work
Give an AI teammate a job. Give your team the final say.
Start with one recurring task. The role, information, connections and review points are set around that work, then checked before the AI teammate joins the team.
- 01 / Define
Define
Describe the repeated work, a good result and the person responsible.
- 02 / Equip
Equip
Choose the systems and information the AI teammate can use.
- 03 / Guide
Guide
Set working instructions and the points where a person must step in.
- 04 / Check
Check
Try representative tasks and correct gaps before daily use.
- 05 / Run
Run
Review activity, decisions and spend. Adjust or pause the role as needs change.
Meet the Command Center
Bring an AI teammate into the team. Keep the whole job in view.
One place to request a role, describe good work, approve its tools and choose the model behind it. The team can see what is ready, what needs review and what it costs.
Illustrative product walkthrough
Command CenterRequests / New
REQUEST / 01
Draft requestRequest an AI teammate
AI teammate namePipeline teammate
Business roleSales & operations ⌄
What should this teammate accomplish?
Prepare weekly pipeline updates from approved accounts. Flag missing context for the sales lead to review.
AMManager approverAlex Morgan✓ Selected
Submit for approval ↗
Your team stays in control01 / 05
From first request to day-to-day oversight. Command Center keeps the role, approvals, access, model choice and spend together.
Start with one AI teammateAlongside your people
Part of the conversation, not another place to check.
People can reach their AI teammates in the tools they already use. The same role can help authorised colleagues while its access and responsibilities stay clear. Channel availability is confirmed during setup.
SlackAsk, update and review in team conversations
Microsoft TeamsWork inside the Microsoft workplace
WhatsAppSupport people where messaging is the natural channelConnected to your business
Useful work needs the right information and tools.
Choose connections around the job. Your administrator controls which AI teammate can use each one and what it may do.
Productivity and communication
Work where your team already talks
SlackTeam conversationsMicrosoft TeamsMeetings and messagesWhatsAppBusiness messagingGoogle Workspace
Mail, files and shared work
GmailEmail
Google DriveFilesMicrosoft 365
Work across your Microsoft environment
OutlookEmail
ExcelSpreadsheets
OneDriveFiles
SharePointFiles and sitesGo to market
Accounts, service and customer context
SalesforceSales and Service Cloud
HubSpotCRM and marketing
ZendeskCustomer supportFinance
Keep records and approvals in view
XeroAccounting
TallyAccountingKnowledge and delivery
Find the right context for the task
NotionKnowledge
ConfluenceKnowledge
JiraProjectsAvailable connections and the actions they support depend on your workspace setup and approved credentials.
Your stack, connected
There is room for more.
Bring in other systems through an API, MCP service or suitable connector, then review the access before an AI teammate uses it.
Choice keeps costs in check
Use the right model for the job.
Choose an approved provider with EU processing and match each AI teammate to its work. Routine sorting and first drafts can use a lower-cost model; reserve deeper reasoning for exceptions.
Example · 1,000 routine requests
Sort and draft incoming requests
At 1,000 input and 200 output tokens per request, the job uses 1 million input and 200,000 output tokens. A person still checks the drafts before they are used.
Compare model quality on your own work before choosing. The example below shows model-token charges only.
GPT-6 Luna · EU processing$0.221M input + 0.2M output tokens
GPT-6 Astra · EU processing$22.00Same token volume
99% less model-token spend for this example.
Published Standard API rates in September 2026: GPT-6 Luna $0.10 input / $0.50 output and GPT-6 Astra $10 input / $50 output per million tokens, plus OpenAI’s 10% EU regional-processing uplift. Calculations: ($0.10 + 0.2 × $0.50) × 1.1 = $0.22; ($10 + 0.2 × $50) × 1.1 = $22.00. Excludes platform, tool, storage, cache and retry costs. Model capability and results differ. OpenAI pricing.
Trust and control
Know who owns the work and what each AI teammate can do.
Define responsibility around every role, keep important actions under review and see what happened when work needs checking.
European data region
Your UseGlic workspace is hosted in the EU.
UseGlic operates in the EU region. Your workspace data, connected data processing and AI model processing stay in Europe, with EU-region connections and model endpoints used for your team.
Built into every role
See how access, review and network rules work Security is not part of the package. Security is the package.
Ownership, access, review and visibility are set around the work from the start.
Explore security in detailWhat changes for your business
More capacity, without losing the human thread.
The value is in work your team can actually use. Start with a task, watch how much preparation and review it takes, and expand where the result holds up.
Less repeated preparation
Let AI teammates assemble the first draft or gather details so skilled people can concentrate on checking and deciding.
Clearer handovers
Keep the request, context, owner and next step together across people and tools.
More consistent work
Give recurring tasks a defined process, with exceptions sent to the right person.
Knowledge with boundaries
Give people and AI teammates the context they need.
We are building connected knowledge for your workforce: useful answers for employees and grounded information for AI teammates, with access tied to the person and role asking.
Explore employee and agent knowledgeSee it in a real task
Start with the work that comes back every week.
The first role should solve a recognisable business problem. Choose a task to see how an AI teammate can prepare work while your team remains accountable.
Invoice preparation
An accounts AI teammate gathers permitted invoice details and prepares an entry for the accountant to check.
- An invoice arrives in an approved mailbox.
- Missing information is flagged in the prepared draft.
- An accountant reviews before the next action.
Questions buyers ask
Clear answers before you begin.
Do AI teammates make decisions on their own?
You decide which work can be prepared and where a person must review or approve an action. The limits depend on the role and the systems it uses.
Can one AI teammate help several people?
A role can support authorised colleagues. The setup defines who can reach it, what it can see and who owns the results.
Will it work with our existing systems?
Start with the tools needed for your first task. Ready-made connections can be configured where available; other systems can be assessed through an API, MCP service or another suitable connector.
How do we know it is worth it?
Agree on a useful result first. Then look at accepted work, corrections, review effort, repeat use and operating cost.
Start with one role
Create your workspace Which work would you hand over first?
Tell us about the task, the tools your team uses and who should review the result. Start by creating your UseGlic workspace.