Embedded AI Engineering Pod.

An embedded engineering team that ships into your repo, against your roadmap, under your security model — engineered delivery, not staff augmentation.

Structure

Dedicated 2–8 engineer pod against a written SOW, fixed monthly fee, two-week sprint cadence, named Sense7ai engineering lead, governed by Sense7ai's adopted policy set and the customer's MSA / SOW.

Pre-composed pod practices

Six practices, composed to the SOW.

Agentic AI

Decision-traced agents with human-in-the-loop thresholds.

Applied ML

Model selection, training, evaluation, and deployment under controls.

Platform

Cloud, infrastructure, observability, and CI/CD.

Product

Discovery, scoping, and roadmap alongside engineering.

Mobile

Native and cross-platform clients shipped against the same SOW.

Security

Threat modelling, access controls, and audit-grade evidence.

Typical outputs

Signed SOW with scope, milestones, and acceptance criteria
Two-week sprint plans and written sprint review documents
Working software shipped into the customer's repository each sprint
Architecture and design documents alongside the code
Decision audit trails for every AI subsystem the pod ships
Monthly steering reports and quarterly executive reviews against outcomes
Defined exit posture and handover plan written into the SOW

Why this works

Pods are pre-composed across the practices the customer needs — agentic AI, applied ML, platform, product, mobile, security.

Every pod engineer has cleared internal vetting before being introduced to a customer — no resume-and-bill-rate model.

Cognitive transparency baked in: every agent action emits a structured decision trace; pod sprint reviews are written, not whiteboard.

Sticky monthly revenue; expansion through scope amendments rather than re-selling.

Best customer fit

AI-first product companies that need to ship faster than they can hire; regulated enterprises building their first agentic platform; enterprise teams that have a roadmap but no AI bench.

Contracting entity

Sense7ai Inc. (Delaware) for U.S. customers; SDS India for non-U.S. arm's-length engagements where the customer requires an Indian counterparty.

Compose a pod against your roadmap.

We'll scope the SOW, name the engineering lead, and write the exit posture into the agreement before the first sprint.

Scope a pod engagement →← All delivery models