Enterprise, every department
An agent for every employee, fluent in their job.
Generic assistants answer questions. A personal agent does the job around the job. Each employee gets an agent configured for their department, connected to the systems they already use and limited to the data they are already allowed to see. It starts the day with a brief, clears the inbox, prepares meetings, turns decisions into follow-ups and updates, and learns their preferences. Anything that sends, signs or spends waits for the person to approve, and every action is logged for IT and compliance.
- 5–7 h
- Saved per employee, weekly
- 1 console
- For every agent
- 0
- Sends without approval
How it runs
Step through the pipeline.
Click a step or let it play. The workday record on the right fills in as the agents work.
Step 01 of 08
Provision by role
The agent is created from a department template, such as sales, finance, HR, legal or engineering, and inherits the employee's single sign-on identity and existing permissions. It can never see more than the person can.
- Profile
- Maya K. · Finance BP · template: Finance · SSO scopes inherited
- Brief
- —
- Inbox
- —
- Meetings
- —
- Actions
- —
- Workflows
- —
- Memory
- —
- Governance
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01 · Provision by role
The agent is created from a department template, such as sales, finance, HR, legal or engineering, and inherits the employee's single sign-on identity and existing permissions. It can never see more than the person can.
Tools: Okta / Entra ID, Velum Runtime. Output: Profile.
02 · Start the day with a brief
Before the first meeting the agent summarises what changed overnight: priority emails, messages that need a reply, calendar conflicts and the metrics this person owns.
Tools: Outlook / Gmail, Teams / Slack. Output: Brief.
03 · Triage the inbox
Mail and messages are sorted into act, delegate, read and ignore, with drafts written for the routine replies in the employee's own tone. Nothing sends without a tap.
Tools: Outlook / Gmail, Teams / Slack. Output: Inbox. A person approves before this step completes.
04 · Prepare every meeting
For each meeting the agent pulls the attendees, the last conversation, the open actions and the relevant documents into a one-page brief, so nobody walks in cold.
Tools: Calendar, SharePoint / Drive, CRM. Output: Meetings.
05 · Turn decisions into actions
After each meeting the notes become tasks, tickets, CRM updates or follow-up emails in the right systems, assigned to the right people with due dates.
Tools: Jira / Asana, CRM, ERP. Output: Actions.
06 · Run department workflows
Each template carries the recurring work of that role: a sales agent updates the pipeline, a finance agent chases approvals, an HR agent answers policy questions, a legal agent checks clauses against the playbook.
Tools: Department systems, Velum agent. Output: Workflows.
07 · Remember preferences
The agent keeps a private memory of how the person works: who matters, preferred formats, recurring commitments. The employee can read and delete it at any time.
Tools: Velum Runtime. Output: Memory.
08 · Govern centrally
IT sees every agent, its permissions and its actions in one console, with policies per department, data-loss prevention and a full audit trail. Usage and hours saved are reported by team.
Tools: Velum console, SIEM. Output: Governance.
Impact
What changes when it runs.
Illustrative targets from comparable engagements. Your baseline is measured in the audit and the targets are agreed before we build.
Hours saved and ROI
What it is worth to your team.
Start from our defaults for this pipeline, then move the sliders to your numbers. The maths is simple and shown.
Independent 2026 surveys put the saving from AI assistance at roughly 6 hours a week per knowledge worker. Agents that also act inside department systems tend to sit at the upper end; the pilot measures your baseline first.
Two hundred employees each spending 10 hours a week on email, meeting prep and follow-ups at a $65 loaded hourly cost, with just over half of it handled by their agent: about 1,100 hours a week back, roughly $3.4 million a year in capacity.
Gross capacity, not cash savings. Excludes implementation, software and supervision costs, which are quoted before we start.
Your numbers
An assumption to explore, not a promised result.
What that is worth
1,100 h
reclaimed every week
$3,718,000
value per year
4,763 h
every month
27.5 FTE
of capacity returned
Hours on repetitive work, per week
Gross capacity estimate, not cash savings. Excludes implementation, software, and supervision costs. We validate assumptions in the audit.