Agentic Workflows for Production-Ready AI

GeekyAnts’ AI Pods: Experts in AI Transformation and Agentic AI

We provide ready-to-onboard AI PODs that move from proof of concept to production in weeks. Our teams are pre-configured and blend human intelligence with autonomous multi-agent workflows to achieve the best results.

We provide AI Accountability. No token counting. Fast Production. Guaranteed results.

GeekyAnts’ AI Pods_ Experts in AI Transformation and Agentic AI.png

Types of POD Systems

Pre-configured Teams for Every Stage of Your Product

Each Pod is built for your specific requirements and business vision. Every POD member is equipped with AI-enhanced workflows and agentic systems that enable them to delivery high quality production code fast.

End-to-end Build POD

End-to-end product development from architecture to production deployment. Agents handle scaffolding and boilerplate; humans own architecture and decisions.

Application Management Services POD

Ongoing application management and optimization. AI-augmented monitoring, performance tuning, incident response, and continuous improvement. Your production systems run better every sprint.

Legacy Modernization POD

We document legacy systems, refactor monoliths, clean data pipelines, and layer AI onto codebases. Most vendors here, but this is where we start.

Test Automation POD

Agentic QA at scale. Builds self-healing test suites, regression automation, and OWASP security checks. Reduces your manual testing overhead by up to 90%. Nothing reaches production without a human sign-off.

Custom AI POD

Tailored surgical teams for unique enterprise challenges. You define the specific problem, and we assemble the precise blend of human expertise and AI orchestration. We build these systems for you to keep, ensuring zero vendor lock-in.

Deploy a POD backed by architectural ownership and quality guarantees.

REQUEST FOR AI POD

4 Weeks

Proof of concept to production code

24/7

Agentic workflows run

100%

IP and agents transferred to you on exit

6 Months

Code Warranty

CASE STUDIES

Success Stories from GeekyAnts’ PODs

Why Choose GeekyAnts

Five Gaps the Market Ignores. We Don’t. We Fix

We sell AI accountability. Here's what that difference looks like in practice.

Pay for the Outcome

We price by the deliverable: feature shipped, migration complete, integration live. No token calculator required before every sprint.

Build-to-Transfer

Every agent configuration we build is your property from Day 1. Contracts say so explicitly — not buried in the T&Cs. When the engagement ends, the AI stays in your stack.

Production Code in Sprint 1

Our PODs are configured in days and deploy production-ready code in the first sprint — not a discovery document, not a proof of concept deck, not a roadmap for Q3.

We warrant AI-generated code.

If a severity-1 defect traceable to our POD's output surfaces within 6 months of delivery, we fix it at zero cost. You lose nothing.

Role Breakdown of Our AI POD

The Team Behind the Outcome

A structured team of humans and agents — each with clear accountability and defined deliverables.

Solution Architect

Translate your business goals into a technical blueprint. Owns every architectural decision and trade-off from Day 1. Bridges your stakeholders and the delivery team so nothing gets lost in translation.

Delivers:

HLD, LLD, API contracts, DB schemas, cross-team alignment

Tech Lead

Owns the codebase. Guard quality. Unblocks developers. Your code stays clean and consistent without you micromanaging it.

Delivers:

Code quality gates, sprint technical plans, production RCA

Product Manager

Single point of contact for delivery. Runs sprints, tracks risks, and surfaces progress without you needing to chase it down.

Delivers:

Sprint execution, stakeholder reports, risk mitigation

Developer and AI Agents

Humans write and review the code that matters. Agents accelerate the rest. Combined, they ship production-grade output faster than a team thrice the size on a linear model.

Delivers:

Features, bug fixes, unit tests, API, and inline documentation

QA Engineer and Test Agents

Quality gates before every release. AI-assisted test generation. Human-verified results. Nothing reaches production without a QA sign-off.

Delivers:

Test plans, automated suites, security checks, and release certification

Agentic Layer

Custom AI agents embedded into your workflow. Built on your stack, trained on your codebase, and transferred to you when the engagement ends.

Delivers:

Multi-agent orchestration, RAG knowledge base, autonomous task execution

Start Small. Scale Fast.

Not ready for a full POD? Start with one problem.

Low-risk entry points that prove value before you commit to a full embedded team. A Trojan Horse that actually helps.

QA Bot POD

We built a POD that automates 90% of it in under 90 days. Your QA team stops running the same tests for the hundredth time and starts doing actual quality work.

Documentation POD

LLM Integration Sprint

Architecture Review

How It Works

From First Call to Production Code

Every stage has a defined output and a human accountable for it.

Day 1

Discovery Call

You describe the problem — technical, business, or both. We ask the questions to help you out.

Days 2–4

PISPA Analysis

You get a written problem statement, insight summary, and a proposed POD configuration — fixed scope, fixed outcome, fixed price.

Days 5–7

POD Assembly

We configure your POD: SA, Tech Lead, Developers, QA, PM, and the agentic layer. Custom agents are scoped and initialized against your actual codebase and documentation.

Week 2

Sprint 1

Production code ships in Sprint 1. Production-ready output, reviewed by the Tech Lead, signed off by QA, and deployed to your environment.

Custom

Transfer and Scale

At any point, scale the POD up, down, or fully out. On exit, every agent configuration, RAG knowledge base, and custom workflow is transferred to your team.

How We Help