Delivery model · AI Pods
AI Pods: pay for outcomes, not effort.
An AI Pod brings autonomous AI agents together with experienced engineers and domain experts in one governed delivery team. The agents handle the repeatable work. The people set direction, make the judgment calls and stand behind the quality. You pay for clearly defined deliverables, not hours of effort, and get them faster without adding headcount.
- Agents + experts
- Outcome-based pricing
- Transparent usage & cost
How AI Pods work
Three layers, one accountable team
Every AI Pod is built from the same three layers, working together.
- L1
AI agent workflows
LLM-powered agents produce code, tests, designs, analysis and documentation. They can handle messy, unstructured and changing work, not just fixed rules.
- L2
Human oversight
Pod leads and specialists keep the work tied to your goals, direct the agents, enforce quality and compliance, and handle the edge cases agents shouldn’t.
- L3
Platform & governance
Secure, multi-cloud infrastructure with enterprise integrations, access controls, audit trails and real-time cost visibility.
Pod types
Pods built around the work our clients run every day
- Service
Customer Success Pod
Agentforce and custom service agents that resolve routine cases within policy, summarize accounts and cases for faster hand-offs, and escalate to your team with full context.
- Salesforce
CRM Pod
Salesforce implementation, customization and integration with your ERP, SAP and Outlook, plus agents that keep CRM data complete without manual entry.
- Operations
Business Process Pod
Accounts receivable and back-office automation: invoice creation and delivery, AI-driven cash application, real-time payment monitoring and ERP integration.
- Energy
Energy Management Pod
Compliance operations for building portfolios, including agents that triage jurisdiction email, keep compliance records current and escalate anything unclear to an analyst.
The difference
AI Pods vs. traditional delivery
| Criteria | Traditional T&M | AI Pods |
|---|---|---|
| You pay for | Hours and headcount | Defined deliverables and outcomes |
| Scaling output | Hire more people | Add agent capacity while the team stays lean |
| Handling change | Re-scoping and change orders | Agents adapt to evolving, unstructured work |
| Cost visibility | Timesheets | Usage-level reporting on tokens, compute and output |
| Quality | Depends on individuals | Human-verified output backed by automated evals |
Pricing
Outcome-based pricing that shares the upside
We agree on success criteria up front and tie the pricing to them. Common structures include:
- Pricing tied to shorter delivery timelines
- Quality targets like defect reduction and test coverage
- Output volume: features, test cases or reports delivered
- Shared savings from measurable efficiency gains
- Transparent pass-through of model and compute usage
- Your team stays involved for integration, validation and direction
FAQ
AI Pods: FAQs
Can’t find what you’re looking for? Book a call and ask us directly.
AI Pods are a delivery model that combines autonomous AI agents with human experts in one outcome-driven team. Agents handle the repeatable and generative work, people provide direction, judgment and quality control, and a governed platform takes care of security, integration and cost visibility. You pay for deliverables and results instead of hours.
No. Your team stays involved to set priorities, integrate the work into your systems and validate the results. AI Pods add delivery capacity and speed without a matching increase in headcount.
Together, we agree on measurable success criteria, such as timelines, quality thresholds or output volume, and price against them. Model and compute usage is tracked and reported openly, so you can see exactly what the agents cost and what they produce.
We work with companies across the US, with a focus on New York (including New York City), New Jersey, Pennsylvania (Philadelphia and Pittsburgh) and Texas (Dallas, Houston and Austin). Pods plan their day to overlap with Eastern and Central time, and we meet on-site for kickoff and business reviews.
Ongoing work with clear outcomes that benefits from scale, such as resolving customer service cases, running and extending your CRM, automating back-office processes like accounts receivable, and keeping building compliance records current.
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