A right hand for every role.
Not a generic chatbot. One AI assistant per team member, tuned to the role they actually do. It handles the computer-based tasks the role requires and takes action across the systems the team already uses.
Not a chatbot. A force multiplier.
The category is crowded with one-size-fits-all chat tools. Sync's assistants are different by design.
Four traits that make an assistant actually useful.
The bar for an AI assistant is whether the person it serves opens it tomorrow. These are the four behaviors that earn the second open.
- 01
Knows the role.
Trained on the documents, files, and decisions the seat already produces. The work it does matches what the role would produce, not a generic LLM output.
- 02
Plugged into the systems.
Works inside the tools the role uses every day. CRM, ERP, ticketing, file shares, internal apps. Reads context where the work actually lives.
- 03
Takes action.
Updates records, fills forms, files documents, opens tickets, posts to threads. Completes the computer-based task end to end, not just suggests next steps.
- 04
Cites the source.
Every action and every output traces back to where it pulled from. The audit trail is built into the work itself.
One assistant per seat.
A few of the role-specific assistants we have built for partner teams. Every one sits inside the tools that role already lives in.
AE Brief.
Pulls every touchpoint with an account into a one-page brief before the call. Surfaces the open questions, prior objections, and the next likely ask.
Renewal Companion.
Watches usage, ticket history, and contract dates. Drafts the renewal note 30 days out with the right talking points already in it.
Vendor Inbox.
Triages every vendor email, classifies by type, drafts the standard reply, and surfaces the ones that actually need a human decision.
Inbox Counsel.
Reads every inbound message, surfaces the three worth the founder's eyes today, summarizes the rest, and offers one-click reply drafts in the founder's voice. The founder still hits send.
Sourcing Companion.
Reads job specs, scores inbound resumes against the rubric, drafts outreach in the recruiter's voice, and prepares interviewer briefing packets the night before.
Contract Companion.
Reviews inbound contracts against the firm's playbook, redlines deviations, flags unusual clauses, and drafts the cover note with negotiation points for the lawyer.
PM Companion.
Daily brief pulled from usage telemetry, support tickets, and roadmap status. Drafts release notes and standup updates from the actual data, not memory.
From kickoff to first assistant.
Most assistants ship in 1 to 3 weeks per role, faster after the first one. The discovery work is the bottleneck, not the build.
Shadow the role.
Sit with the person doing the work. Document the prompts they would type if they had perfect time and patience.
Train on real work.
Feed it real prior emails, real prior decks, real prior decisions. Iterate against examples the human accepts.
Deploy in-tool.
Lives in Slack, Gmail, Notion, or the CRM. The first interaction is a draft, not a question.
Tune from feedback.
Every accepted draft, every reword, every skip is a signal. We tighten the model on real usage, weekly.
Which seat would save the most hours tomorrow?
Tell us the role and the daily work. We will scope an assistant that ships inside two weeks.