Engineers Who Supervise, Agents That Execute
You are not renting bodies. Each pod pairs senior engineers with AI agents and automation, and every task goes to the right worker: architecture and security to people, repetitive coding and testing to agents, deployments and checks to automation. People stay accountable for every result.
Work We Already Moved to Agents
For a retailer, a supervised pricing agent replaced about 20 hours a week of manual price checks and recovered 12% of retained margin. In a vision pipeline rebuild, automation absorbed roughly 40% more of a 300-person review queue. Explore our case studies.
Your Code Stays Private
Agents and engineers work inside your repositories and private cloud perimeter. Your code and data never train a public model, and SOC2/GDPR-aligned practices apply from day one.
You Own Everything
You own the code, prompts, agent workflows, tests and runbooks. No proprietary platform or lock-in contract stands between you and taking the work in-house whenever you want.
Founder on Every Account
A founder leads your engagement directly, with US business-hours coverage, so escalations reach the people who designed your pod and its workflows, not an account manager.
Scales Without Headcount
Add capacity by adding agents and automation to proven workflows, not by hiring and onboarding more contractors every time your backlog grows or a new client signs.
IT Outsourcing Cost & Packages
Pilot Sprint
$15,000+
A fixed two-week pilot where a senior engineer and supporting AI agents ship real work from your backlog. Best for teams comparing AI-augmented outsourcing with their current vendor or in-house capacity.
What's included?
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Backlog Audit: tasks sorted into engineering, agent and automation lanes
Pilot Delivery: one feature, test suite or workflow shipped on your code
Agent Setup: coding, testing and documentation agents configured for your repository
Findings Report: velocity, quality metrics and a staffing plan for the next quarter
Augmented Team
$28,000+
A monthly hybrid team of a senior lead, engineers and supervised AI agents working your backlog with weekly releases. This is the tier most mid-market companies choose to replace or extend a traditional outsourcing vendor.
What's included?
Senior Lead: architecture, code review and accountability for every merge
AI Agent Layer: agents drafting code, tests, docs and migrations under review
Automation: CI/CD, automated testing and monitoring wired into your stack
Reporting: weekly velocity, quality and cost per feature against your baseline
Managed Delivery Pod
$55,000+
A monthly pod running both software delivery and supervised operations agents for back-office workflows, with SLAs, governance and a dedicated solutions architect. Built for companies consolidating several vendors into one accountable team.
What's included?
Everything in Augmented Team: plus a dedicated solutions architect and agreed SLAs
Operations Agents: supervised agents for invoices, returns, reports or data entry
Governance: approval gates, action logs and audit-ready documentation
Knowledge Transfer: runbooks and training so your team can take over anytime
Why Choose Building Agentic?
You could hire freelancers, rent an offshore bench billed by the hour or buy an AI tool nobody supervises, or work with one accountable hybrid team.
Right Worker per Task
Every task goes to the right worker: senior engineers, supervised AI agents or plain automation, chosen for cost, speed and reliability.
Outcomes, Not Hours
You pay for delivered features and automated workflows, not for seats that sit idle between sprints or ramp up slowly.
Humans Stay Accountable
Senior engineers review and approve agent output, so you get AI speed without unsupervised changes to your code or operations.
You Own Everything
Code, prompts, agent workflows and documentation stay yours, with no lock-in when you decide to bring work back in-house.
How It Works
AI-augmented outsourcing fails when agents run unsupervised or engineers ignore them. We run every engagement as four short stages, each with measurable delivery on your own backlog before the next one starts.
Step 1
Audit the Backlog
We review your backlog and manual operations, then decide which tasks need senior engineers, supervised agents or simple automation first.
Step 2
Run a Pilot
A senior engineer and supporting agents ship real backlog work within about 14 days, measured against your current delivery speed.
Step 3
Scale the Pod
We add engineers, agents and automation to the workflows that proved themselves, with weekly releases and transparent reporting from week one.
Step 4
Hand Over Anytime
Documentation, runbooks and agent workflows stay current, so your team can take over any part of the work whenever you choose.
Industries We Provide AI-Augmented Outsourcing For
The hybrid model works wherever engineering backlogs and repetitive operations pile up together. These are the areas where we already run production systems and where supervised agents pay back fastest.
Who Leads Your Outsourced Team
Our founders lead every account in US business hours. Here is who runs your pod and what each of them is accountable for.
Engineering is distributed across Europe and CIS, which keeps senior expertise at a competitive cost; founders cover US business hours.
How a Hybrid Pod Actually Works
Our team answers the questions CTOs and operations leaders ask before replacing an outsourcing vendor: who does what, how agent output is controlled and how fast it really is.
Frequently Asked Questions About AI-Augmented IT Outsourcing
