Your team spends too much time chasing missing details, moving requests between systems, and answering the same follow-up questions all day. AI agents help clear the queue, route work faster, and keep routine back-office tasks moving without constant manual checking.
Shared services work is full of small delays that add up fast. The difference is whether your team is constantly chasing information or letting routine work move on its own.
No engineering team required. Go from idea to running agent in minutes.
Tell the agent what it should do — in plain language. Or choose from a library of ready-made agent templates built for your industry. No code, no configuration files.
Link your email, CRM, spreadsheets, Slack, or any other tool with one click. The agent reads, writes, and acts across all your connected apps automatically.
Hit start. Your agent runs 24/7 and sends you a clear summary of everything it did — what it found, what it acted on, and what needs your attention.
This is the kind of work your team already handles today, just with fewer manual touches and fewer delays.
The intake agent reads the request, identifies the request type, and checks whether the basic details are present before anyone on the team touches it.
The follow-up agent sends the right message to the requester, asks for the missing item, and keeps the ticket open until the needed detail comes back.
The prep agent pulls the needed details into the right format, checks for obvious mismatches, and prepares the task for the next step.
The handoff agent sends the task with the right context, tracks the status, and reminds the next owner before the item stalls.
The closeout agent updates the status, records the outcome, and notes any issue that should be reviewed later so the team has a clean record.
These agents focus on the work shared services teams actually handle every day: intake, follow-up, handoffs, checks, and closeout.
Reads incoming requests from email or forms, identifies the request type, and routes it when the request arrives.
Checks for missing documents, approvals, or fields and sends the right reminder as soon as a request stalls.
Pulls request details into the right format and highlights obvious errors when the team is preparing work for the next system or owner.
Sends work to the next owner with the right context and follows up when the task is waiting on another team.
Updates the record, closes the ticket, and adds the final note when the task is complete.
Reviews exceptions, flags unusual cases, and prepares a short summary when a request does not follow the normal path.
See how we stack up against manual work and every other automation tool on the market.
One-click connections. No API keys, no developer setup required.
AI agents help shared services teams handle repetitive requests, follow-ups, and handoffs faster so your team can spend less time chasing work and more time closing it correctly.
These are the kinds of directional outcomes teams usually look for after removing repetitive manual work from the queue.
"We stopped losing half a day to sorting requests and chasing missing details, and the queue became much easier to manage."
Straight answers to the questions owners and operators usually ask before they let AI agents touch live work.
If your shared services team is spending too much time chasing details, moving tickets, and cleaning up handoffs, now is the time to fix it before the backlog gets worse.