Agent outsourcing (agent workforce)
Outsourced agents instead of outsourced people: iOS developer, business analyst, accountant, tester; with a work log.
Agent outsourcing (agent workforce) is an Aginies solution package for the Enterprise Functions sector in the “hr & employee experience” area. What the agents do: The job description becomes an agent spec: tasks, tools, outputs, KPIs, approval points; the agent gets accounts in your tools (Jira, Git, ERP, CRM); code and data stay in your tenant. Expected outcomes: roles that start within days and work 24/7; what was done, how long it took and what it cost in one record; knowledge stays in the workspace; scaling takes minutes. The package uses the Role specs, Work log, Shadow → sampled review, Human-in-the-loop capabilities of the Aginies platform and can be watched live through the iOS feature implementation (hired developer agent), Regression test cycle (hired QA agent), Month-end close and reconciliation (hired accountant agent), Backlog grooming and estimation scenarios in the agent library.
The outsourcing model sells person-months: starting takes weeks, knowledge leaves with the person, timesheets do not show what was done. Scaling means new hires.
- 01The job description becomes an agent spec: tasks, tools, outputs, KPIs, approval points.
- 02The agent gets accounts in your tools (Jira, Git, ERP, CRM); code and data stay in your tenant.
- 03Every output is reviewed in the shadow period; after the quality threshold, sampled review and threshold-based approval.
- 04Every task goes to the work log: output, hour-equivalent, quality, approval, cost; weekly timesheet and monthly invoice from the same record.
- Agents hired from the role catalogue: developer, analyst, accountant, tester, support
- Works inside the organisation’s tools; work log with task, output and hour-equivalent
- Shadow period, sampled review, autonomous; thresholds and kill-switch
- A named team lead on the Aginies side; weekly report
- Tool access the role needs (Jira, Git, ERP, ticketing)
- Task definition and acceptance criteria
- A review owner on the organisation side
Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.
Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.
- Roles that start within days and work 24/7
- What was done, how long it took and what it cost in one record
- Knowledge stays in the workspace; scaling takes minutes
| Accepted output share | 85% and above |
| Cost per role | 30–50% of an outsourced person-month |
| Knowledge loss at turnover | Zero; knowledge stays in the workspace |
Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.
Scenario-level approval rules plus the package’s general controls.
- iOS feature implementation (hired developer agent)Every PR is reviewed by a person; production deployment under the team lead’s approval
- Regression test cycle (hired QA agent)The release “go / no-go” decision stays with the release manager
- Month-end close and reconciliation (hired accountant agent)Every posted entry and every filing with the accountant’s approval
- Backlog grooming and estimationSprint scope → product owner approval; agents only propose, never commit items to a sprint
- packageProduction and financial record changes under the organisation’s approval
- packageThe organisation owns the outputs; agent-month or output-based billing
- 1 · Policy and role catalogue · 2 weeksHR policies, process owners and system access defined; personal-data boundaries written.
- 2 · Pilot · 4 weeksOne department or one role; quality score and user feedback tracked weekly.
- 3 · Scale-outAll departments; thresholds, review sampling and kill-switch owned by HR management.
This package’s scenarios in the agent library
iOS feature implementation (hired developer agent)
The Jira story is taken, built in SwiftUI, tested and opened as a PR; review and release decisions stay with the team.
Regression test cycle (hired QA agent)
Regression runs on every release candidate, new bugs are filed with evidence, a coverage report is written; the “go” decision stays with the release manager.
Month-end close and reconciliation (hired accountant agent)
Invoices are processed, bank and vendor reconciliations done, the close checklist run; entries are posted with the accountant’s approval.
Backlog grooming and estimation
Incoming requests are triaged, clarified and sized; a sprint proposal goes to the product owner for approval.
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis