Agent management services, inside the project tool you already use
We set up AI agents inside the project management tool your team already uses: every task gets an owner and an update trail, and a person signs off before work goes out.
Fit
Who this is for
Agencies running many clients from one project tool, where account managers spend the day collecting requests and chasing approvals. In-house marketing and operations teams that have bought agent seats and want them on real tasks with clear sign-off. Product and engineering teams running coding agents from Linear or Jira that want one review queue and one cost view. Do not use it to pick your first AI tool.
Deliverables
What you get
- How your agents work together: a dispatcher assigns tasks to worker agents, or one account manager agent works across all your clients. Each agent knows what it owns and when to hand off.
- Updates where your team already looks: agents post progress, questions and results on the task itself, in Asana, Linear, Jira, ClickUp, monday.com or Teamwork.com.
- One review pack: a ranked list of only what still needs a decision, with links to each file and task. Approve by moving the task or leaving a comment.
- The skills your agents follow: operating procedures and skill files agents read before each task, updated as the work teaches them something new.
- A weekly dashboard: agent time, human review time and AI cost for every task type, with a trend line, so you know which work to hand over next.
Inputs
What we need to start
- Access to your project tool, and to the Slack, Microsoft Teams or Gmail channels where requests arrive.
- The three to five task types that take most of your team's week.
- Who approves work before it reaches a client or goes live.
- What an agent must never do on its own.
Timeline and price
How it runs
We map the recurring work first: who asks for it, where it arrives and who signs off today. Then we set up the agents in your tool with their own seats, task statuses, review rules and the skill files for each task type. For the first weeks we review every output alongside your team and tune the skills where a draft falls short. Each week after, you see agent time, human time and AI spend per task type. We run our own company this way: coding agents pick up issues in Linear and wait for review before anything merges, and an account manager agent collects client requests from every channel, drafts the work from our skill files and sends a review pack before delivery. Scoped per engagement, then run as a retainer.
Questions
Do we need to change project management tools?
No. Agents work inside the tool you already use, with their own seats and task statuses.
Which agents do you work with?
Claude, Claude Duet, OpenClaw and the agents your project tool already includes. We pick the agent per task type.
Does anything go out without a person approving it?
No. Client-facing work, messages and code merges wait in the review pack until someone on your team approves them.
How do you measure whether it is working?
The weekly dashboard compares agent time, human review time and AI cost per task type, so the decision to hand over more work rests on your own numbers.
How is it priced?
Scoped per engagement, by the number of task types and tools in scope, then run as a retainer.
Request a scope for agent management
A fixed scope and price back within two business days.