Unify · the AI operating layer for every team

AI teammates forevery workflow

Start with one painful workflow. Give an AI teammate the context. The shared operating layer compounds from there.

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01Why work slows down

Work is scattered across systems.

CRM here. Helpdesk there. Data warehouse, BI, runbooks in Notion, contracts in SharePoint, decisions in Slack threads. Every handoff asks someone to work out what changed, who owns it, and what needs doing next.

Before Unify
Manual handoff board
Unresolved47
Sales to success23 accounts pending handoff
SalesforceSlackNotion
Broken handoffClosed-won context lives between AE, CSM and the runbook. The handoff is rebuilt account by account.
New customers wait while the team aligns internally.
Quarterly board prep5 conflicting figures
SnowflakeExcelPower BI
Broken handoffSource numbers, the model and the narrative drift between three owners.
The week before the board becomes a reconciliation exercise.
Vendor risk & access11 reviews waiting
ServiceNowSharePointOkta
Broken handoffRisk reviews, contract docs and identity provisioning sit in three different queues.
Critical vendors get approved while their access is still pending.
Incident reviewContext rebuilt every retro
JiraSlackSharePoint
Broken handoffThe incident, the retro and the evidence pack are owned by different people.
Postmortems start from a blank page every time.
02Then, compound the context

Unify turns useful context into an operating layer.

As workflows prove value, the context they rely on can be promoted into shared, queryable infrastructure. Accounts, customers, employees, contracts, tickets and decisions stay in the tools your teams already use; Unify maps only what is worth reusing.

Operations map
accountcustomers, segments, lifecycle
Salesforce
personemployees, scopes, approvals
OktaMicrosoft Teams
documentcontracts, runbooks, policies
SharePointGoogle Drive
recordjoined views, warehouse
SnowflakePower BI
ticketrequests, incidents, changes
JiraServiceNow
messagedecisions in threads, channels
SlackMicrosoft Teams
inboxreplies, drafts, follow-ups
OutlookGoogle Drive
16 sources connected7 entity types212k records mappedAudit on
Live joined view
Snowflake has historical revenue, but live follow-up still lives in apps
ready to bridge
Closed-won accounts with no CSM kickoff posted yet
23 handoffs open
Vendors approved by Risk but still missing Okta access
11 access gaps
Where the Q3 model diverges from current ARR in the warehouse
5 figures flagged
Fabric-readyVersionedReversibleJoinableYour cloud
03Start small, compound deliberately

Start with the minimum useful context.

AI teammates do not need the whole company connected before they can work. We scope one workflow with your team in the room, give the teammate the documents, apps and context it needs today, and connect deeper only where the win is worth making reusable.

Step 1 · You

Pick the first workflow

Start with one team, one slow workflow and the minimum context an AI teammate needs to do useful work.

First remit scoped
narrow scope · single team
read-only to start · confirmed by you
Step 2 · Together

Hand over the working context

Use conversation, files, existing app access or APIs. A shared data layer helps, but it is not the entry ticket.

For this remit:
SharePoint folder ↔ Salesforce tasks
Confirm? — yes
Step 3 · Together

Connect deeper where it pays

When a workflow proves value, promote the useful context into shared tables, reusable memory and live syncs.

Recurring fields promoted
Owners and actions normalised
Review rules retained
Step 4 · Compounding

The layer grows from use

Small team wins become the operating layer: versioned, governed and useful to the next teammate.

1 workflow live   context reused   next remit ready
04Your first AI teammate

Meet Sarah — your first AI teammate.

Sarah is one example of your first AI teammate: scoped to a specific remit, not a fixed template. Yours might start with closed-won handoffs, weekly forecast hygiene, board-prep reconciliations or vendor-risk follow-ups. Once her remit is set, she gets her own browser, files, mouse, keyboard, inbox, calendar and app access.

SharePoint — Vendor MSAExcel — Q3 ModelSalesforce — Q3 PipelineBrowser — Vendor Site+
10:42
Sarah · workstation
on a call · #revops-weekly
5 tabs open
2 drafts pending
Files
▤ vendor-msa.pdf
▤ exec-update.docx
▤ q3-model.xlsx
This morning
12 documents reviewed
4 source conflicts flagged
2 sections drafted
docDocument workspace › Q3 board pack
Meet · screenshare10:42
Sarahusing this computer live
SourceWork itemActionStatus
PDFVendor MSACritical clausesReview ready
ExcelQ3 modelVariance checkedMatched
WordExec updatePopulate sectionWriting
BrowserVendor siteSource noteQueued
⌨ keystrokeEditing exec update from source evidence
↗ browserPulling vendor public filings
✉ draftingForecast variance note queued
Sarah · AI teammate · own machine
Own browser sessions
Logged in as herself. Her cookies, her tabs, her history.
Own computer + files
A real workspace she reads, writes, and organizes with mouse, keyboard and file access.
Own inbox + calendar
Sends, replies, schedules and follows up from her own accounts.
Voice + video calls
She joins Zoom, Teams, Meet — listens, speaks, takes action live.
she shows up where your team already works
Slack
Outlook
SharePoint
Salesforce
Snowflake
Power BI
05Access, audit and approval

She has a scope. Like everyone else.

She isn't an admin user with the whole operation handed to her. She gets exactly what her remit needs — same access model your team uses, same audit, same one-click controls. Click anyone to see their world.

Salesforcerevops pipeline
Snowflakeread · ARR & retention
SharePointrevops folder
Outlookown inbox
Slack#revops-* channels
ServiceNowvendor reviews · read
Oktaflag only
Power BIdenied
06The remit — what makes this a hire, not a tool

She has a job description. Like everyone else.

The output of onboarding is a remit — the same thing you'd write before opening a req. Owner, scope, what done looks like. It's what makes her accountable, and lets you add, pause or change her remit as the work shifts.

Remit · v3
Revenue Operations/Revenue & Customer Operations
Filed by Unify·Approved by Priya Shah · Head of Technology·Reviewed quarterly
Hire
Sarah — one AI teammate, full-time equivalent.
Reports to
David Park, RevOps Manager. Dotted line to Lin (FP&A) on forecast-impacting calls.
Owns
  • Closed-won handoffs — every new customer matched to a kickoff plan and CSM owner
  • Forecast hygiene — stale opportunities reconciled against meeting notes weekly
  • Board-prep reconciliations — variance notes drafted before Friday
  • Vendor-risk follow-ups — flag stalled reviews and missing access provisioning
Does not do
  • Pricing decisions — escalate to Lin
  • Contract redlines — escalate to Legal
  • Hiring decisions — escalate to David
Done looks like
First-90-day customer motion stops slipping. Forecast accuracy stays inside ±5% week over week. Fewer surprise vendor blockers at quarter-end.
If it's not working
Change the remit, pause the teammate or reassign the work. Every permission can be adjusted without rebuilding the stack.Change remit
Signed —Priya ShahMar 14, 2026
07A Tuesday — Sarah's working day, end-to-end

She shows up. Like everyone else.

Here is what a normal Tuesday can look like once she is live. No prompts. No babysitting. Just the working day, end-to-end, with every action audited and every decision revertible.

07:42
inbox
Cleared 38 overnight emails. Replied to 9, escalated 4 to David, archived the rest.
09:00
standup
Joined the RevOps standup. Posted action items to #revops-weekly. Spoke twice.
10:30
handoff
Walked 3 new closed-won accounts through the kickoff runbook. Pinged CSM owners in #cs-handoffs.
11:42
forecast
Reconciled 4 stale opportunities in Salesforce against last week's notes. Flagged 2 for David.
14:15
board prep
Pulled current ARR and net retention from Snowflake into the Q3 model. Variance note drafted.
17:30
wrap
End-of-day summary in #revops-weekly. 11 tasks done, 2 carried forward to Wednesday.
Same hours your team works. Same tools. Same accountability.One of the team.
08What gets better over time

Every workflow makes the next one easier.

Start with Sarah on one revenue-operations workflow. The access model, review rules, useful joins and team memory from that first remit become reusable infrastructure. Marcus for vendor risk and Jules for finance reporting do not start from zero.

Week 1
Sarah
One workflow
Sales-to-success handoff is live with scoped access, review rules and enough context to work.
Week 3
Shared context
What proved useful
Account ownership, runbook templates and handoff rules are promoted because the workflow needs them repeatedly.
Week 6
Marcus
Deeper connection
Vendor-risk follow-up reuses the same access model and adds procurement evidence where it compounds.
Quarter 2
A team
Organisation-wide layer
Multiple AI teammates, standing workflows, shared memory and one audit trail across the operating model.
One workflowsufficient contextdeeper connections that compound across the org.
Get started

The first thing we'll do is listen.

Book a guided rollout session. We'll learn the workflow that's slow today, identify the minimum useful context, and propose a first AI teammate remit you can sign or shelve.