AI Operations Manager

Optimizes capacity, identifies bottlenecks, and streamlines processes.

An AI operations manager is an autonomous agent that monitors workspace capacity, flags bottlenecks, and recommends process improvements. In Helm, the operations manager reads across projects, time tracking, and workflows, runs on Claude, and can operate in observe, suggest, or auto modes.

Workspace memory
Carries context across tasks, projects, and accounts.
Three autonomy levels
Observe, suggest, or auto. You pick.
Four channels
Chat, Slack, Email, scheduled runs.
Responsibilities

What an AI Operations Manager owns.

Monitor workspace capacity: who has bandwidth, who is overbooked, who is underutilized.
Identify bottlenecks in delivery across projects, teams, and stages.
Spot profitability issues: projects running over budget, clients with poor margins.
Surface process improvements based on patterns across completed work.
Watch AR aging and cash flow trends; flag collection risk early.
Run weekly and monthly operational summaries without waiting for someone to build a dashboard.
Features & Configuration

Tune every dimension of how the agent works.

Roles, tools, autonomy, memory, schedules, budgets. Every agent ships with the same configuration surface.

Pre-built or custom roles

Start from a Project Manager, Account Manager, or other template. Or define a custom role with its own name, color, and defaults.

Scoped tool access

Enable specific tool groups (tasks, projects, billing, calendar, analytics, memory, and more). Toggle read or read-write per group. Add 300+ external integrations.

Three autonomy levels

Observe (watch silently), Suggest (draft and wait for approval), or Auto (execute directly). Flip levels as trust builds.

Per-channel autonomy override

A fully autonomous agent can still require approval on email. Rare in AI tools, essential for client-facing work.

Custom instructions and skills

Layer your own instructions on top of the role's defaults. Enable skill modules for domain expertise and house style.

Memory

Agents remember past decisions, scoped to workspace, account, or project. Searchable. Optional. Disable per agent.

Schedules

Run agents on a daily, weekly, or monthly cadence with a custom prompt. Output to Slack, in-app notifications, or a task comment.

Spending limits

Set a monthly USD cost cap per agent. Runs pause automatically when the budget is hit. Usage is tracked per run and per month.

Full audit trail

Every agent run is logged with the tools called, inputs, outputs, success/failure, tokens, and cost. Browse history per agent.

Apps this agent uses

Lives inside the rest of the platform.

Same records your team uses. No separate database, no sync lag.

External tools

Plus the tools this agent reaches for.

Connected once at the workspace level. Scoped per agent with read or read+write.

Channels

Reach the agent where you work.

Four channels. Each with its own permissioning and autonomy override.

In-app chat

Open the chat panel in Helm and talk to the agent directly. Page context comes along for free.

Email

Reachable on any mailbox the workspace has connected. Replies route back through the agent.

Slack

@mention in any channel the agent is invited to, or DM the workspace DM handler.

Scheduled runs

Runs on a daily, weekly, or monthly cadence. Output to Slack, notifications, or a task comment.

Example Tasks

Real work this agent runs.

Flag team members trending below 60% utilization for three consecutive weeks.
Identify projects whose logged hours exceed the original budget by 20% or more.
Send a Monday morning "state of the workspace" to #leadership: pipeline, AR, utilization, at-risk projects.
Surface clients whose project margins have dropped over the last two quarters.
Track days-to-pay by account and flag clients whose payment cadence is slowing.
Monitor task-completion velocity by team and flag sudden drops.
Identify stages in the project pipeline where work gets stuck longest.
Summarize month-end financial snapshot for the Friday leadership meeting.
Recommend which clients to prioritize for process standardization based on profitability.
Spot capacity risks 6 weeks out based on pipeline probability × hours estimate.
Flag workflows that fail repeatedly and suggest why.
Autonomy

Three modes. Override per channel.

You pick how much the agent decides for itself. And you can be stricter on channels that face clients.

Observe
The agent reads and reports. Nothing is changed on your behalf. Use when you want visibility without risk.
Suggest
The agent proposes actions; you approve or reject. Good default for agents working against client-facing systems.
Auto
The agent executes directly within its permissioned scope. Use when you trust the workflow and want hands-off operation.
How it sounds

Real prompts. Real replies.

You
How did the team do last week?
Operations Manager
Utilization hit 74% (up 3 points from the prior week). Projects delivered: 4. Hours logged: 312 billable, 78 internal. One red flag: the Globex redesign is at 112% of budget with one week left. Worth a scope conversation. One bright spot: Acme paid two invoices five days earlier than usual, which moved AR aging in a good direction.
You
What projects should we worry about?
Operations Manager
Three stand out. (1) Globex redesign: 112% of budget, scope expanded twice without new line items. (2) Initech launch: two missed milestones, client has stopped responding for 9 days. (3) Soylent migration: margin down 30% vs. the template because the Shopify work took 2× expected. I can draft next-step notes on any of them.
FAQ

Questions about the Operations Manager agent.

What data does the Operations Manager actually read?

Everything the Analytics app covers: time entries, invoices, payments, project budgets and actuals, pipeline forecast, task velocity. Because the data is already on the platform, there's no data warehouse, no ETL, no setup.

Can it change anything, or just report?

Default autonomy for this agent is Suggest. It proposes actions (create a task, notify an account owner, flag a project). Some teams run it in Auto for recurring summaries and internal notifications, Suggest for anything touching a client.

How is this different from Analytics?

Analytics is the dashboard; the Operations Manager is the one reading it. Dashboards wait for someone to open them. The agent actively surfaces what's changing, what's at risk, and what needs a decision.

Can it run on a schedule?

Yes. Set a schedule (daily, weekly, monthly) and the agent runs automatically, posting summaries to Slack, email, or the in-app chat. No prompting required.

What plans include this agent?

Available on every Helm plan. Some Analytics views the agent reads (utilization, per-project profitability, forecasting) require Pro or Business.

Hire your AI Operations Manager.

Included on every Helm workspace. Per-workspace pricing. No per-seat tax.