BUILD SPRINT ENGAGEMENT TRACK

Agentic Product Delivery
Ship Multi-Agent AI to Production

A high-velocity 6–12 week agile build sprint. We embed a dedicated squad of senior AI engineers and designers to architect, train, validate, and launch enterprise-ready AI copilots and autonomous multi-agent workflows with human oversight built in.

Duration
6 – 12 Weeks
Format
Embedded Squad & 2-Week Sprints
Core Deliverable
Live Production AI Deployment
Schedule Build Sprint Kickoff → All Engagement Tracks
LangGraph / CrewAI Orchestration Human-In-The-Loop
WHAT YOU RECEIVE

Production-Grade Deliverables

Every Build Sprint delivers fully tested, monitored, and production-deployed AI capabilities directly into your enterprise cloud environment.

SLA & SRE Ready

Multi-Agent Orchestration Mesh

LangGraph & CrewAI powered autonomous agents equipped with dynamic tool routing, long-term vector memory, and deterministic state transitions.

  • Custom Tool APIs
  • State Checkpointing

Copilot UX & Prompt Flows

Designed streaming user interfaces and intuitive prompt flows that make AI decisions transparent, inspectable, and frictionless for human operators.

  • Token Streaming UI
  • Approval Review Loops

Automated Eval & Safety Harness

Continuous regression testing suites with RAGAS benchmarks, hallucination detection, prompt injection shielding, and PII masking filters.

  • Red Teaming Suites
  • Semantic Grounding

Secure Production Rollout & APM

Enterprise cloud or on-prem deployment with auto-scaling Kubernetes pods, real-time OpenTelemetry tracing, and live token usage dashboards.

  • 24/7 APM Telemetry
  • CI/CD Canary Releases
BUILD SPRINT PHASES

How We Ship in 6–12 Weeks

Fast, iterative 2-week sprints delivering working software directly into staging from Sprint 1.

SPRINTS 1 – 2 01

Data Ingestion & Tooling Mesh

Provisioning vector indices, connecting enterprise databases, establishing tool API schemas, and configuring sandbox environments.

  • API & DB schema bindings
  • Staging infrastructure provisioned
SPRINTS 3 – 4 02

Agentic Logic & UX Integration

Iterative multi-agent reasoning, RAG semantic groundings, prompt optimization, and UI streaming interfaces for user testing.

  • Multi-agent task handoffs
  • End-to-end pilot feedback demo
SPRINTS 5 – 6 03

Hardening, Safety & Launch

Automated evaluation benchmarks, red teaming, security sign-off, live telemetry setup, and internal operator training.

  • 99.9% uptime deployment
  • SRE runbooks & squad handover
EMBEDDED SQUAD

Senior AI Engineering Squad

Engineers and designers who have shipped multi-agent products to production, not junior prototypers.

Lead AI/ML Systems Engineer

Agent Architecture & RAG

Builds and tunes the multi-agent mesh, custom tool API schemas, vector retrieval pipelines, and fine-tunes LLM prompt routing.

Principal AI Product Designer

UX & Human-In-The-Loop

Designs the streaming copilot UI, human oversight review loops, and intuitive prompt flows for seamless user trust.

Platform & MLOps Engineer

Cloud Deployment & SRE

Manages Kubernetes cluster autoscaling, OpenTelemetry distributed tracing, CI/CD pipelines, and token FinOps cost governance.

READY TO LAUNCH

Let's Ship Your Agentic Product to Production

Share your product requirements and existing systems. We'll assemble an embedded squad to deliver your AI product from concept to production.

Book Build Sprint Kickoff → Explore All AI Services
6–12
Weeks to Production
100%
Code & Model Ownership
99.9% Uptime
SRE & Security Guarantee