AI teammates for growing companiesEmily helps growing companies deploy AI centrally, work with AI as teammates, manage access and accountability, and scale from one proven use case to many.
Central deployment · Named human owners · Measured value
AI teammate · Deployed 12 weeks ago
Finance — Shared the closing ledger for period 07
Analyst — Reconciled revenue against CRM pipeline
Operations — Confirmed delivery cost variance
Approval required before board send
Next cycle: Monday 08:00
Last 12 reports delivered on time
The problem
They need shared organisational capacity — with clear ownership, governance and measurable value. Individual accounts create private wins that never become company capability.
Private AI chat
Shared organisational capacity
The platform
Configured centrally
AI teammates are set up once, by the people accountable for systems and data — not improvised tab by tab.
Shared work
Work happens in threads your team can see, join and audit, so context belongs to the company.
Accountable autonomy
Every teammate has an owner, permissions, approval rules, a cost line and a version history.
Reuse what works
Prove value on one responsibility, then repeat the pattern across the next team and the next.
Product journey
Click through the journey to see how a single responsibility becomes deployed, collaborative, governed and repeatable.
Step 01 of 06
Start from a business outcome, not a prompt. The Management Reporting Analyst owns weekly management reporting end to end.
Use the arrow keys to move through the journey. Each step is one screen in Emily.
Step 1 of 6: Choose the responsibilityWho it’s for
See where AI is actually creating capacity, and grow it from evidence rather than enthusiasm.
A visible cost line per teammate, measured hours returned, and approvals where money and reporting meet.
Central deployment, scoped system access and version control instead of unmanaged tools in every team.
A teammate that already knows the systems, works in the open, and takes the repetitive part of the week.
4.6 hrs
returned per reporting cycle
96%
reports delivered on time
1 → many
responsibilities, same pattern
Beta
Start with one responsibility, one owner and one measurable outcome — then scale the pattern across your teams.