Agents by department
Give every employee an agent that does the work around their work.
One agent per person, configured for their department, scoped to their permissions and governed from one console.
- 5–7 h saved per person, weekly
- 8 department templates
- 1 governance console
In short
What do Velum personal agents do?
Velum Personal agents are governed AI agents assigned to individual employees across departments such as sales, finance, HR, legal, operations and engineering. Each agent inherits the employee's identity and permissions through SSO, works inside email, calendar, chat and department systems, requires approval for outbound or irreversible actions, and is managed from a central console with policies, audit logs and usage reporting.
Assistants answer questions; personal agents act. Each employee gets an agent built from a department template, connected through single sign-on to the tools they already use and limited to what they can already see. It prepares the day, clears the inbox, preps meetings, turns decisions into tasks and runs the recurring work of the role. Anything that sends, signs or spends waits for the person, and IT sees every agent and every action in one place.
What we can implement
The agents in this line.
- Walk in prepared
Leadership & chief of staff
Daily brief, board and QBR prep, decision logs and follow-ups across the leadership team.
- 5 h more selling
Sales & customer success
Account research, meeting prep, CRM updates and renewal watch for each rep and CSM.
- Fewer chasers
Finance
Budget variance notes, approval chasing, spend questions and month-end checklists.
- Tickets down, not up
People & HR
Policy and benefits answers, onboarding checklists, interview scheduling and review cycles.
- First pass in minutes
Legal & procurement
Contract review against the playbook, clause comparison, vendor intake and renewal alerts.
- Less toil per sprint
Engineering & IT
Incident summaries, ticket triage, release notes, access requests and on-call handoffs.
- Fewer handoffs
Operations
Vendor follow-ups, scheduling, status reporting and exception handling across systems.
- Reports on Monday
Marketing
Campaign reporting, content repurposing, brief writing and competitor watch.
- IT stays in control
Governance console
Every agent, permission, policy and action in one place, with DLP, audit logs and hours-saved reporting.
What changes
Before and after.
Typical ranges from comparable deployments. Your baseline is measured in the audit.
Time on email and messages
BeforeAbout 11 hours a week
AfterAbout 5 hours
−55%
Meeting prep
Before20 to 30 minutes each
AfterReady on arrival
−90%
Shadow AI tools in use
BeforeUnknown
AfterOne governed platform
Visible
Ranges observed across comparable deployments. Your Assess produces the real baseline.
Your numbers
What is this work costing you today?
Move the sliders. The maths is simple and shown.
Your numbers
An assumption to explore, not a promised result.
What that is worth
58 h
reclaimed every week
$134,784
value per year
249 h
every month
1.4 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.
Personal agents: good questions
01How is this different from Copilot or ChatGPT Enterprise?
They are assistants you ask. Personal agents are configured per role, connected to department systems and allowed to act, with approvals and audit. We can build on licences you already have.
02Can an agent see more than the employee?
No. Agents inherit the employee's SSO identity and permissions, and IT can restrict them further by department policy.
03Is this only for large enterprises?
No. Teams of 30 get the same agents with lighter governance. Enterprises add department templates, SIEM export and on-premise options.
04How do we start?
With an AI opportunity audit: we map the workflow, report the opportunities, and agree scope and success criteria before building.
05What happens after launch?
We hand over documentation and train the owner. Managed AI operations can run and improve the agents for you.
How we deliver it
Services behind every agent.
AI opportunity audit
Know exactly what to automate, and what it is worth.
We map how work actually moves through your teams and tools, score every candidate workflow on value, feasibility and risk, and hand you a costed roadmap. You decide what to build with real numbers in front of you.
2 to 3 weeksCustom AI agent development
Agents built around how your team already works.
We design, build and ship AI agents that do real work inside your tools: reading documents, updating systems, drafting replies and making routine decisions, with a person approving anything that matters. Tested on your real cases before launch.
4 to 8 weeks per agentManaged AI operations
Agents that keep getting better after launch.
Once agents are live we run them: monitoring quality and cost, re-running evaluations on every change, upgrading models, fixing integrations when vendors change their APIs, and shipping new improvements every month.
Monthly, cancel any time
Give every employee an agent that does the work around their work.
Clear scope. Tested workflows. A supported launch. Thirty minutes to find out if your function qualifies.