Build Operate Transfer Teams

Dedicated engineering teams — built in weeks, yours to keep.

NCompas builds dedicated technology teams in Hyderabad, India — managed by US-based delivery leads in Cleveland, Ohio — with full HR, payroll, compliance, and AI-assisted performance management, then transferring ownership to you with a 94% team retention rate.

47dedicated technology teams built, operated, and successfully transferred to client ownership by NCompas — across AI/ML engineering, cloud platform, data engineering, and modern application development, in India and the United States.
60%faster time-to-productive-team under the BOT model vs. direct hiring in a new geography — because NCompas handles entity setup, compliance, HR, payroll, infrastructure, and onboarding while the client focuses on product and technical direction.
94%team retention rate through the transfer period — the highest risk of BOT engagements is talent churn during handover. Our structured transfer programme, equity/retention incentive design, and 90-day post-transfer support maintain team cohesion.
35–45%cost reduction vs. equivalent US direct hiring, with identical technical standards, full English-language communication, and US-compatible working hours — the BOT model is not offshoring, it is building a permanent capability with the right talent, at the right cost.

Why NCompas

We operate to transfer — not to extend the engagement.

Most BOT providers are incentivised to keep you in the Operate phase. NCompas designs every engagement with a successful Transfer as the explicit success criterion.

Entity & Infrastructure — Sorted in Week 3

Setting up a legal entity in India takes 6–18 months independently. NCompas leverages existing legal infrastructure, banking relationships, payroll systems, and compliance frameworks — so your first engineers in Hyderabad can start within 4 weeks of engagement kick-off, not 18 months later.

Technical Standards, Not Just Headcount

The BOT model has a reputation for quantity over quality. NCompas applies the same AI-powered sourcing, LLM resume intelligence, and structured technical assessment used in our direct placement practice. Every BOT team member is assessed against the client's actual technical standards — not a generic job description — and calibrated against the client's existing best engineers.

Performance Engineering, Not Just HR Admin

Most BOT providers manage payroll and report headcount. NCompas manages performance. We track DORA metrics, run monthly performance reviews, identify skill gaps, design and run technical upskilling programmes, and flag churn risks 60–90 days before they become departures. The Operate phase is active team development, not passive maintenance.

Knowledge Management as a Deliverable

The most common BOT failure mode is a team that's productive but not documentable — and when transfer happens, the knowledge walks out with the people who leave. We mandate Architecture Decision Records, runbooks, and onboarding guides as engineering deliverables alongside code. Delivery performance tracking is reviewed monthly from Month 1.

Transfer is the Goal From Day One

Some BOT providers design engagements to extend, not transfer. NCompas designs everything — team structure, knowledge management, retention incentives, and client relationship depth — with a successful transfer as the explicit success criterion. Transfer milestone planning starts in Month 1, not Month 20.

90-Day Post-Transfer Support, Included

Transfer day is not the end of the engagement. NCompas provides 90 days of post-transfer operational support — answering HR questions, resolving compliance edge cases, supporting manager onboarding, and monitoring team health signals. The 90-day window covers the highest-risk period for post-transfer churn and catches the issues that only surface after formal handover.

Six BOT capability phases

Build, Operate, Transfer — every phase engineered, not just managed.

Six capabilities that make the difference between a BOT engagement that transfers successfully and one that ends with a team that's productive but not ownable.

Dedicated Team Build — AI-Powered Sourcing & Onboarding

Using NCompas's AI multi-source recruitment engine, we source and assess candidates for the dedicated team — GitHub, arXiv, Stack Overflow, and passive candidate outreach alongside active applications. Every candidate goes through LLM-powered resume intelligence and structured technical assessment calibrated to the client's actual technical standards. Onboarding includes client codebase immersion, process alignment, tooling setup, and a structured 30-60-90 day ramp programme.

AI multi-source talent sourcing (14 signals)LLM resume intelligence & screeningStructured technical assessmentClient-calibrated evaluation rubrics30-60-90 day ramp programmeClient codebase & culture immersion
3.8 weeks mean time-to-productive-contribution for BOT team members — vs. 8–12 weeks industry average for distributed team hires without structured onboarding

Managed Operations — HR, Payroll, Infrastructure & Compliance

During the Operate phase, NCompas handles everything that isn't the client's core product: employment contracts, local HR and labour law compliance, payroll processing, benefits administration, equipment procurement, office or remote infrastructure, local bank relationships, and statutory reporting. The client directs what the team builds; NCompas ensures the team has everything needed to build it and nothing stands in the way.

Employment contracts & HR compliancePayroll processing (multi-currency)Benefits administration & health coverEquipment procurement & IT setupOffice space or remote infrastructureLocal statutory & regulatory compliance
100% payroll and compliance accuracy across all 47 BOT engagements — zero regulatory issues, zero late payments, zero employment disputes during the Operate phase

Performance Engineering & Team Health Management

The Operate phase is not passive management. NCompas uses AI-assisted performance analytics: DORA metrics for delivery teams (deployment frequency, lead time, MTTR, change failure rate), individual skill progression tracking, collaboration health scores, and early churn risk signals. Monthly performance reviews, structured 1:1 frameworks, and technical mentoring ensure teams improve continuously — not just stay stable.

DORA metrics & delivery performanceIndividual skill progression trackingCollaboration health analyticsEarly churn risk signal monitoringMonthly performance review cadenceTechnical mentoring & upskilling
BOT teams under NCompas performance management improve average DORA deployment frequency by 2.4× within 6 months — from fortnightly to multiple-times-per-week

Knowledge Management & Institutional Documentation

The greatest risk of any dedicated team is that knowledge lives only in people's heads — and those people can leave. We mandate structured knowledge management throughout the Operate phase: Architecture Decision Records, runbooks, process documentation, incident playbooks, and onboarding guides. Every system the team builds is documented to a standard where a new engineer can be productive within their first two weeks. This is the foundation of a successful Transfer.

Architecture Decision Records (ADR)Runbooks & incident playbooksProcess & workflow documentationOnboarding guide maintenanceKnowledge base platform (Confluence/Notion)Documentation quality scoring
Teams with structured knowledge management programmes achieve 85% faster new-member onboarding — reducing the critical dependency on specific individuals before and after transfer

Structured Transfer — Ownership Transition & Post-Transfer Support

The Transfer phase is a programme, not an event. 90-day structured handover: legal entity transfer or contractor-to-employment conversion, payroll and benefits migration, systems and tooling ownership, management responsibility transition, and a 90-day post-transfer support period where NCompas remains available for operational questions. Retention incentive programme designed in Month 1 to vest at transfer — so team members have financial reasons to stay through the handover.

Legal entity transfer or direct conversionPayroll & benefits migrationSystems & tooling ownership transferManagement responsibility handoverRetention incentive design & vesting90-day post-transfer support SLA
94% team retention through and beyond the transfer period — with structured retention incentives and 90-day post-transfer support preventing the talent churn that kills BOT engagements

Engagement lifecycle

Three phases, 27 months — productive team in month 3, your team from month 22.

The BOT lifecycle designed so transfer is inevitable, not aspirational — with every phase building the knowledge, documentation, and incentives that make handover successful.

BuildMonths 1–4
  • Team architecture & capability design
  • AI-powered talent sourcing & assessment
  • Infrastructure & tooling setup
  • Entity and payroll establishment
  • 30-60-90 day ramp programme
  • First delivery milestone achieved
Team productive and delivering in Month 3
OperateMonths 4–24
  • NCompas manages HR, payroll, compliance
  • DORA metrics & performance engineering
  • Skill development & mentoring programme
  • Knowledge management documentation
  • Client-directed delivery cadence
  • Monthly performance reviews
DORA elite performance by Month 12
TransferMonths 22–27
  • Legal entity transfer or direct employment
  • Payroll & benefits migration
  • Systems and tooling ownership handover
  • Management responsibility transition
  • Retention incentives vest at transfer
  • 90-day post-transfer NCompas support
94% team retention through transfer

Delivery geographies

India and the United States — where the talent is, with infrastructure already in place.

NCompas has legal entities, payroll infrastructure, office relationships, and talent pipelines in Hyderabad, India — with US-based delivery management in Cleveland, Ohio — so your team starts in 4 weeks, not 18 months.

🇮🇳

India

Hyderabad · Bangalore · Pune · Chennai

40–50%
AI/ML Engineering.NET & JavaCloud & DevOpsData Engineering
🇺🇸

United States

Cleveland, Ohio · Columbus · Chicago

Market rate
AI StrategyArchitectureProduct LeadershipClient Delivery Leads

Delivery approach

First engineer starts in week 4 — team productive and delivering in month 3.

Five stages from team design to transfer — structured so you never wait 18 months for entity setup, and never reach transfer to find a team that's productive but not documentable.

01

Team Architecture & Engagement Design

Week 1–2: team structure and skill plan, seniority mix, interface design with the client org, performance framework, tooling and process standards, and team handover readiness plan. Cost modelling and TCO analysis across geography options. Legal entity selection and establishment plan. Engagement contract and milestone-based SLA agreed.

02

Entity Setup & Infrastructure Establishment

Week 2–5: legal entity establishment (or NCompas employer-of-record model), payroll and banking setup, office or remote infrastructure procurement, equipment standards, IT security baseline, and compliance framework registration. Client GitHub organisation, Slack workspace, and tooling access provisioned. First hire start date confirmed.

03

Team Build & Onboarding Programme

Months 1–4: AI-powered sourcing, LLM screening, structured technical assessment, offer management, and onboarding. 30-60-90 day ramp programme: client codebase immersion weeks 1–2, paired programming with client team weeks 3–4, independent delivery with review from Month 2. First delivery milestone by end of Month 3.

04

Managed Operations & Performance Engineering

Months 4–22: NCompas operates HR, payroll, compliance, equipment, and infrastructure. Monthly DORA metric reviews, individual performance reviews, skill development plans, knowledge management audits, and churn risk monitoring. Client directs the team's technical and product priorities; NCompas ensures everything else works.

05

Structured Transfer & Post-Transfer Support

Months 22–27: 90-day transfer programme — legal entity transfer or direct employment conversion, payroll and benefits migration, systems ownership, retention incentive vesting, and management responsibility handover. 90-day post-transfer NCompas support SLA. 12-month relationship review and optimisation plan.

Client outcomes

30-person AI centre in 4 months. NHS data engineering team in Poland. Real BOT engagements.

Four organisations that built permanent technology capabilities through BOT — with cost savings, retention rates, and performance outcomes that direct hiring couldn't match.

The Challenge

UK-based payments fintech with Series C funding needing to build an AI engineering centre in India — 30 engineers specialising in ML inference optimisation, real-time fraud detection, and LLM integration. The CTO had never hired in India before, had no legal entity there, no payroll infrastructure, no understanding of local employment law, and a 6-month runway pressure to have a productive team. Direct hiring was 18 months away through entity setup alone.

What We Delivered

NCompas BOT engagement: Indian private limited entity established in Week 3 (leveraging NCompas's existing legal infrastructure), AI-powered sourcing of ML engineers across IITs, IIScs, and Indian tech companies, structured technical assessment calibrated to the client's existing London team's standard. Team of 30 fully hired and onboarded by Month 4. NCompas managed payroll, HR, benefits, and office infrastructure in Bangalore throughout the 18-month Operate phase. Full transfer to client in Month 22 including entity ownership.

3 weeksto entity establishment — vs. 12–18 months if client had set up independently
30 engineersproductive by Month 4 — ML inference optimisation team delivering in Month 3
35%cost saving vs. equivalent London AI engineering salaries — identical technical calibre
FinTech — AI Engineering Centre

UK-based payments fintech with Series C funding needing to build an AI engineering centre in India — 30 engineers specialising in ML inference optimisation, real-time fraud detection, and LLM integration. The CTO had never hired in India before, had no legal entity there, no payroll infrastructure, no understanding of local employment law, and a 6-month runway pressure to have a productive team. Direct hiring was 18 months away through entity setup alone.

3 weeksto entity establishment — vs. 12–18 months if client had set up independently
30 engineersproductive by Month 4 — ML inference optimisation team delivering in Month 3
35%cost saving vs. equivalent London AI engineering salaries — identical technical calibre
Healthcare Technology

US-based health analytics company needing a dedicated data engineering team to build and maintain a real-time clinical data platform — processing millions of patient records across multiple hospital networks. Regulatory requirements (HIPAA, SOC 2 Type II, ISO 27001) meant the team needed structured compliance awareness from day one. US data engineering hiring pipeline had been open for 6 months with zero acceptances at the offered salary.

40%cost saving vs. US market rate for equivalent data engineering skills
SOC 2 Type IIcompliance achieved by the BOT team within Month 6 — HIPAA compliant from Month 4
100%team retention through transfer — all 15 engineers converted to direct client employment
Enterprise Cloud Platform

Fortune 500 retailer transforming their cloud infrastructure — needed a dedicated 50-person cloud platform team (SREs, cloud architects, DevOps engineers, FinOps specialists) that would own Azure infrastructure across 200+ services. Internal hiring was taking 4–6 months per senior hire. CTO wanted a team that was dedicated, permanently embedded, and not the typical agency-managed contractor arrangement that fell apart when individual contractors left.

Monthly → dailydeployment frequency — DORA performance programme across both team locations
$3.2Mannual saving vs. equivalent US-only hiring for 50 cloud engineers at market rate
50 engineerstransferred to direct employment — zero attrition during the 6-month transfer programme
AI Product Scale-Up

AI product company post-Series A needing to build a 20-person engineering team to execute their 18-month product roadmap — with a hard constraint that all engineers needed to be technically peer-reviewable by the 4 founder engineers, full English-language proficiency, and work US hours. Board was pressing for a team that would remain with the company long-term, not a contractor arrangement the company would be re-recruiting against every 6 months.

20 engineersdelivered in 12 weeks — Series A milestone met, board milestone achieved
4.9/5founder satisfaction score — engineers rated as "indistinguishable from our direct hires" technically
100%chose to join the company directly at transfer — phantom equity incentive fully effective

Building in new geographies is not offshoring — it is building a permanent capability at global scale, with the infrastructure and talent already in place.

60%

faster time-to-productive-team under BOT vs. direct hiring in a new geography — because entity setup, compliance, payroll, and onboarding infrastructure is already in place, turning 18 months of setup into 4 weeks.

35–45%

cost reduction vs. equivalent US direct hiring — with identical technical standards, full English-language communication, and US-compatible working hours with an India-based engineering team.

94%

team retention through and beyond the transfer period — driven by structured retention incentives designed in Month 1 and 90-day post-transfer support that catches the issues which only surface after formal handover.

2.4×

improvement in DORA deployment frequency within 6 months of NCompas performance engineering engagement — from fortnightly deployments to multiple-per-week, measured across all active BOT engagements with delivery teams.

Commercial model

Transparent pricing — no lock-in, no surprises.

10–50
engineers — typical dedicated team size, scalable up or down at any phase
18–27 mo
typical engagement lifecycle from first hire to completed transfer
Monthly rate
per role — transparent, no hidden markup, 30-day ramp-down flexibility. Transfer fee pre-agreed at engagement start.

Full cost model with TCO analysis included at no charge in your BOT Feasibility Brief — before any commitment.

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Tell us the team you need — we'll tell you exactly how to build it in India in 4 weeks.

Start with a free BOT Feasibility Brief — capability model design, geography recommendation, cost model with TCO analysis, and a timeline from engagement kick-off to productive team. No obligation, no generic brochure — a specific plan for your specific team requirement.