A Dedicated AI Engineering Team, Embedded in Your Sprints.
Faster to spin up than hiring. Cheaper than a Big-Four bench. ML engineers, prompt engineers, evaluators, and MLOps – embedded in your tools, owned by your roadmap.
Why Not Just Hire?
Hiring takes 4-9 months. By the time the team is in place, the roadmap has moved. Our AI Remote Team model gets a productive team in your sprints in four weeks, with a clear path to in-house if you ever want to transfer.
How Engagements Run
Embedded & Sprint-aligned
Work directly in your Jira, GitHub, and Slack with the same ceremonies as your in-house teams — no separate vendor portal, no "vendor-shaped" cadence.
Tied to the same KPI tree as the rest of your engineering org so progress is always measurable and accountable.
Time-zone friendly
Tier-2 Indian delivery centres with 4+ overlap hours for US East / EU, keeping collaboration seamless across regions.
Engagement Commercial Models
- Monthly retainer – 3, 6, or 12-month cycles. Predictable burn.
- Outcome-tied – Up to 30% of fee tied to agreed delivery milestones.
- Build-Operate-Transfer – After 12-18 months, team transfers to your payroll. We carry severance risk.
- Hybrid in-house / remote – Our specialists pair with your full-time engineers.
Will Claude write broken code at scale?” is the right question. Our answer is a four-layer correctness model not human review alone.
- Spec-driven inputs. Refactor prompts are built from your architecture docs, ADRs, and style guide not from open ended language.
- Test-first generation. Behavioral tests are generated against the legacy system first, run green, then become the contract the new code must satisfy.
- Deterministic verification gates. Static analysis, type-checks, dependency scans, and the regression suite gate every merge same gate as human-written code.
- Eval-driven CI. A code quality eval suite runs in CI; regressions in correctness, security, or hallucination rate block merge.
Human review is the final layer not the only one. The result: AI-suggested code carries the same provenance, attestation, and quality bar as code written by hand.
Every modernization project lives or dies at the cutover. We engineer for safety from day one.
IP & data
Code in your repos, your cloud. Data in your tenant. No third-party hosting.
Background-checked engineers
Per your compliance requirements (BGV, NDA, training).
Quarterly business reviews
KPI delivery, team health, financial review
Knowledge transfer & run-books
Continuous - not a "handover doc" at the end.
Manufacturing
Plant-level data + AI teams.
BFSI
Risk, AML, customer-AI teams under heavy governance.
Healthcare
Embedded eng for clinical AI products.
Retail
Demand, personalisation, store-ops AI teams.
SaaS / Software
Embedded in product engineering for AI-native feature delivery.
FAQ
Frequently Asked Questions
How is this different from staff augmentation?
Staff augmentation gives you people. AI Remote Team gives you a team – with lead, ceremonies, delivery cadence, and managed delivery accountability. Individual staffing is offered separately under our Staffing engagement model.
What happens if a team member underperforms or leaves?
We replace within 14 days at no impact to your sprint plan. We carry the ramp-up of replacements; you only pay for productive time.
Can we transfer the team to our payroll later?
Yes – that is the Build-Operate-Transfer model. Typical transfer point is 12-24 months. We help with the visa, payroll, and severance mechanics.
Ready to Build the Team?
Book a 45-minute scoping call. We will agree the pod shape, share specific engineer profiles within five working days, and put an MSA on the table.