Agent Outsourcing · Workforce Aginies

Hire agents, not headcount.

Instead of hiring an iOS developer, business analyst, accountant or tester from an outsourcing firm, you hire agents that hold the same role. The agent works in your tools and reports to your team; what it did, how long it took and what it cost are in the work log. Decisions stay with your approver, with a named team lead on the Aginies side.

12ready roles
2 weeksshadow period, 100% review
24/7available; no payment for idle time
1named Aginies team lead
Workforce Aginies· roster and work log · fintech-opsMon 09:00

Simulation: one week of four hired agents. Use the tabs for the daily digest, weekly report, release bulletin and work log; give an agent an instruction from the box below.

Why

Three chronic problems of the outsourcing model

01

Turnover and lost knowledge

The person leaves and so does what they knew; the next one starts from zero. An agent’s knowledge stays in the workspace; the next one starts with the same corpus.

02

Invisibility

A timesheet shows hours logged, not what was done. The work log shows every task, output, quality score and approval.

03

Slow scaling

A new hire takes months; a second agent of the same role takes minutes. When demand drops, capacity drops and so does the invoice.

Role catalogue

Roles you can hire today

Every role is an agent spec: tasks, tools, outputs, KPIs and approval points. Roles outside the catalogue are defined with the Autonomous Agent within days in a discovery session.

Engineering

iOS Developer Agent

replaces: Outsourced iOS developer
aginies-large-c5 · Code Aginies
What it does
  • Takes the Jira story, implements it in SwiftUI, writes unit and UI tests
  • Opens the PR, applies review comments, gets CI green
  • Drafts release notes and App Store metadata
Where it works
JiraGitHub / GitLabXcode CloudTestFlightFigma
Outputs
Merged PRsStory points closedTest coverage delta
Weekly KPIs
PRs / weekFirst-review pass rateBuild success rateHour-equivalent

Human control: Every PR is reviewed by a person; production deployment under the team lead’s approval

Example in the library →

Backend Developer Agent

replaces: Outsourced backend developer
aginies-large-c5 · Code Aginies
What it does
  • Writes API endpoints, data model and migrations
  • Fits the existing codebase: lint, architecture rules, observability
  • Produces integration tests and API docs
Where it works
JiraGitHubCI/CDPostgreSQLOpenAPI
Outputs
Merged PRsEndpoints / servicesBugs closed
Weekly KPIs
PRs / weekBug reopen ratep95 latency impactHour-equivalent

Human control: Schema changes and production deployment human-approved

Example in the library →

QA Engineer Agent

replaces: Outsourced tester
aginies-medium-oss-120b · on-prem
What it does
  • Derives test cases from acceptance criteria, maintains the regression suite
  • Runs regression on every release, files bugs with evidence and steps
  • Reports coverage and escaped defects
Where it works
Jira / XrayPlaywrightXCUITestCI/CDBrowserStack
Outputs
Tests run / releaseBugs filedRegression coverage
Weekly KPIs
Escaped defects / releaseBug validity rateRegression durationHour-equivalent

Human control: The release “go” decision stays with the release manager

Example in the library →

DevOps / SRE Agent

replaces: Outsourced DevOps engineer
aginies-large-c5
What it does
  • Writes and maintains pipelines, IaC and monitoring rules
  • First response in incidents, applies runbooks, rolls back
  • Produces cloud cost and capacity reports
Where it works
GitHub ActionsTerraformKubernetesGrafanaPagerDuty
Outputs
Incidents resolvedPipeline changesCost-saving proposals
Weekly KPIs
MTTRDeployment frequencyChange failure rateHour-equivalent

Human control: Production infrastructure changes and rollbacks approved

Example in the library →
Business analysis and data

Business Analyst Agent

replaces: Outsourced business analyst
aginies-large-c5
What it does
  • Writes user stories and acceptance criteria (Gherkin) from requests and meeting notes
  • Produces process maps, data dictionary and impact analysis
  • Grooms the backlog, makes it estimation-ready
Where it works
JiraConfluenceMiroTeams / Slack
Outputs
Ready storiesProcess documentsImpact analyses
Weekly KPIs
Stories / weekReturn rate from developmentCriteria clarity scoreHour-equivalent

Human control: The product owner approves the stories

Example in the library →

Data Analyst Agent

replaces: Outsourced data analyst
aginies-large-g5
What it does
  • Produces SQL queries, dashboards and weekly reports
  • Explains anomalies and trends, linked to source data
  • Runs data-quality checks
Where it works
BigQuery / SnowflakedbtPower BI / LookerSlack
Outputs
ReportsDashboardsAnalysis requests answered
Weekly KPIs
Request-to-report timeRework rateData-quality findingsHour-equivalent

Human control: Externally shared reports under the analytics lead’s approval

Finance and operations

Accountant Agent

replaces: Outsourced accountant
aginies-large-c5 · Vision Aginies
What it does
  • Processes invoices and statements, prepares journal entries
  • Performs bank and vendor reconciliation, explains differences
  • Runs the month-end close checklist, prepares VAT
Where it works
ERP (SAP / Logo / Netsis)e-FaturaBanka APIExcel
Outputs
Entries postedReconciliationsClose tasks completed
Weekly KPIs
Days to closeReconciliation breaksCorrection rateHour-equivalent

Human control: Entries posted with the accountant’s approval; filings stay with people

Example in the library →

Procurement Specialist Agent

replaces: Outsourced procurement specialist
aginies-medium-oss-120b · on-prem
What it does
  • Collects requests, prepares RFQs, compares supplier responses
  • Runs three-way matching of order, receipt and invoice
  • Produces supplier performance reports
Where it works
ERPE-postaTedarikçi portalıExcel
Outputs
RFQsMatched invoicesSavings reports
Weekly KPIs
Request-to-order timeMatch exceptionsSavingsHour-equivalent

Human control: Order approval and supplier selection with the procurement manager

Example in the library →
Customer, sales and HR

Customer Support Rep Agent

replaces: Outsourced contact-centre agent
aginies-medium-oss-120b · on-prem
What it does
  • Answers tickets and chats, acts in the system
  • Hands out-of-policy requests to a person with rationale
  • Writes the weekly topic and root-cause report
Where it works
Zendesk / SalesforceDialog AginiesWhatsAppCRM
Outputs
Tickets resolvedFirst-contact resolutionsEscalations
Weekly KPIs
CSATAverage resolution timeEscalation rateHour-equivalent

Human control: Refunds, cancellations and above-limit actions approved; 10% sampled quality review

Example in the library →

Sales Development Rep Agent

replaces: Outsourced SDR
aginies-large-c5
What it does
  • Researches and scores leads, updates the CRM
  • Drafts personalised outreach; sending is human-approved
  • Schedules meetings and prepares briefings
Where it works
HubSpot / SalesforceLinkedInE-postaTakvim
Outputs
Qualified leadsMeetings bookedBriefings
Weekly KPIs
Meetings / weekQualification accuracyReply rateHour-equivalent

Human control: External outreach always sent with human approval

Example in the library →

Recruiter Agent

replaces: Outsourced recruiter
aginies-large-c5
What it does
  • Pre-screens applications against criteria, writes rationale
  • Schedules interviews, runs candidate communication
  • Produces the hiring funnel report
Where it works
ATS (Greenhouse / Kariyer.net)TakvimE-postaHRIS
Outputs
Candidates screenedInterviews scheduledFunnel reports
Weekly KPIs
Time to fillInterview-to-hire ratioCandidate satisfactionHour-equivalent

Human control: Screening and offer decisions with HR; the agent proposes with rationale

Example in the library →
Legal and compliance
The path of one instruction

From instruction to bulletin in seven steps

The agent takes work from a Jira story, an e-mail or a direct message; its plan is visible; it works in your tools; checks run; outputs over threshold go to a person; the result is written to the work log; digest, report and bulletin are produced from that record.

  1. 01InstructionA Jira story, an e-mail or a direct message: “fix the dark-mode bug in PAY-119”
  2. 02PlanScope, tools to touch, approval point; a 3-step plan visible to the team lead
  3. 03WorkIn your tools: code, tests, entries, reports; every step traced
  4. 04ChecksLint, tests, policy, PII; check families scored
  5. 05ApprovalOutputs over threshold go to a person: PR review, above-limit entries
  6. 06Work logTask · output · hour-equivalent · quality · approval · cost
  7. 07BulletinsDaily digest 09:00 · weekly report Friday · release bulletin on release
Routines

Like an employee: morning digest, Friday report, bulletin on release

A hired agent’s day flows like an employee’s. A new instruction can be given at any moment; the agent shows its plan and progress, and stops to ask on steps outside its authority.

whenwhatcontentto whom
Every morning 09:00Daily digestFinished yesterday, planned today, blockers; per agentteam lead · Slack / e-mail
ContinuousWork logEvery task a row: output, hour-equivalent, quality, approval, costapprover · approval queue
Friday 17:00Weekly reportOutputs, KPIs, quality, cost; timesheet exportteam lead · management
Every releaseRelease bulletinWhat shipped, who did what, tests, approvals, rollout stageteam · stakeholders
Month endClose and invoiceAccounting close tasks; invoice line from the work logfinance · procurement
On demandInstructionNew work by direct message, Jira or e-mail; plan and progress visibleanyone · within permissions
Examples

A weekly report and a release bulletin, written by the agents

Weekly report · week 38 · fintech-opsFriday 17:00 · timesheet exported · invoice line ready
agentroleoutputswhatqualityhour-eq.cost
ios-dev-01iOS Developer54 PRs · 21 points · release notes4.720 h$6.7
qa-01QA Engineer61,245 tests · 1 bug · go recommendation4.824 h$4.8
ba-01Business Analyst514 stories · 2 processes · retro4.620 h$4.5
acct-01Accountant5236 entries · 3 reconciliations · close4.923.5 h$4.6
21outputs
87.5 hhour-equivalent
9human approvals
$20.6total cost
  • Release 2.14.0 live; escaped defects 0; crash rate 0.08% (threshold 0.3%).
  • September close finished on working day 5 (previous month 9); 3 items with the accountant’s approval.
  • Human equivalent of the same work ~88 hours; the agent-month cost of four roles sits below it. Figures are illustrative.
release bulletin2.14.0 · fintech-ops · mobilThu 13:00 · e-mailed to team and stakeholders
What shipped
Payment summary screen (PAY-117), dark-mode fixes (PAY-119), 6 bug fixes
ios-dev-01
PR #4818, #4823 merged · 10 points · release notes and App Store metadata
qa-01
rc2 → rc4: 421/421 · BUG-2291 found, fix verified · escaped defects 0
ba-01
PAY-118 acceptance criteria were the source of 9 tests in the release; 3 unclear stories with the product owner
Approvals
d.kaya (PR review) · e.demir (release go) · recorded: who, when, rationale
Rollout
10% staged → 24 h monitoring (crash threshold 0.3%) → 50% → 100%
Next
PAY-121 and PAY-122 ready for development; PAY-124 in review

The bulletin is written by the agents from the work log; the daily digest (every morning 09:00) and the weekly report (Friday 17:00) are produced the same way.

Tracking

What it did and how much: the work log

Every task is a row: ticket id, output, hour-equivalent, quality score, approval and cost. The weekly timesheet and the monthly invoice come from the same record; no surprises.

TaskTicket / story id, start and finish, status
OutputPR, report, entry, ticket: concrete and countable
Hour-equivalentEstimated human time for the same work; for billing and comparison
QualityReview result, rework, check-family scores
ApprovalWho, when, rationale; every step over threshold
CostTokens, tool calls, model; per task and role
dailywork log · approval queue
weeklytimesheet · KPIs · quality
monthlyinvoice · review · scale decision

Every row is a task; the weekly timesheet and the monthly invoice are produced from the same record. What was done, how long it took, who approved it and what it cost are answered in one place.

Engagement model

Starts in five steps, then scales

From role scoping to the monthly review, responsibility is clear at every step. In the shadow period every output is reviewed; once the quality threshold is cleared, review becomes sampled. The kill-switch is always on.

  1. 01Role scopingThe job description becomes an agent spec: tasks, tools, outputs, KPIs, approval points.you + the Aginies team lead
  2. 02Access and onboardingThe agent gets accounts in your tools: SSO, roles, read / write permissions, data boundaries. Code and data stay with you.IT + security
  3. 03Shadow periodFor the first two weeks every output is reviewed by a person; mistakes are added to the test corpus, the agent is corrected.your team lead + Aginies
  4. 04Sampled reviewOnce the quality score clears the threshold, review drops to 10% sampling and threshold-based approval; the kill-switch is always on.your team lead
  5. 05Monthly review and scaleWork log, KPIs and cost are read together; the role is widened, a new role added, or the contract ended.you + Aginies
Comparison

Human outsourcing and agent outsourcing side by side

Two models doing the same work; the difference shows in time to start, traceability, knowledge retention and pricing. In both, the final decision belongs to your team.

outsourced peopleoutsourced agents · Workforce Aginies
Time to start4–8 weeks of search, contract, onboardingDays: role spec, access, shadow period
AvailabilityOffice hours, leave, turnover24/7; idles when demand drops, scales when it rises
KnowledgeArrives and leaves with the personStays in the workspace; the next agent starts with the same corpus
TraceabilityTimesheet and weekly reportStep-by-step work log: task, output, quality, approval, cost
Quality consistencyVaries by person and dayVersioned with a test corpus and check families
Data securityLaptop, home network, third-party officeInside your tenant; code and data never leave
ScalingNew hires, monthsA second agent of the same role in minutes
PricingPerson-month, regardless of useAgent-month or per output; no payment for idle capacity
Human accountabilityThe vendor’s project managerA named Aginies team lead; decisions with your approver
Commercial model

Three pricing models, no list prices

Set together in discovery according to role, volume and approval intensity. You own the outputs; contracts can be ended monthly.

Agent-month

A fixed monthly fee per role; unlimited tasks, defined KPIs and SLA.

Best fitRoles with continuous workload

Output-based

Fee per merged PR, resolved ticket or processed invoice; the work log is the invoice line.

Best fitVariable or project-based work

Agent pod

Several roles + an Aginies team lead; works like a product team with weekly planning and retrospectives.

Best fitTeams that want end-to-end delivery
Governance

Managed like an employee, audited like a system

  • Accounts in your tools, in your tenant; code and data never leave
  • Read / write permission per tool; steps over threshold go to approval
  • Who approved every output, and why, is recorded
  • A named Aginies team lead; weekly planning, monthly review
  • Kill-switch: immediate stop per role or task
  • You own the outputs and the knowledge produced; the corpus stays with you when you leave
In the library

Live examples of hired roles

Software DeliveryHITL

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.

380 runs / month 94.4% success 4 agents
Software DeliveryHITL

Feature delivery pipeline

A Jira epic turns into criteria, design, code and tests via agents; humans only review and approve the PR.

1,200 runs / month 91.2% success 5 agents
Software DeliveryHITL

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.

260 runs / month 95.8% success 4 agents
Software DeliveryHITL

Incident response and hotfix

Alert fires, bug reproduced, patch and regression run ready; on-call approves, post-mortem already drafted.

320 runs / month 90.5% success 5 agents
Software DeliveryHITL

Backlog grooming and estimation

Incoming requests are triaged, clarified and sized; a sprint proposal goes to the product owner for approval.

340 runs / month 92.8% success 4 agents
Enterprise FunctionsHITL

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.

60 runs / month 96.2% success 4 agents

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.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis