01
How is "productized" different from a typical fixed-price quote?
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A productized engagement has a published price, a published window, and a published scope — all on the website, before the discovery call. You're comparing apples to apples across our five service lines (Upstream, Build, AI Pod, Agents, Strategy). A typical fixed-price quote is bespoke per buyer and only becomes "fixed" after a multi-week sales process.
02
Why should an India-incorporated firm be trusted by a US / UK / AU founder?
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India HQ keeps unit economics sustainable. The bench (150+ across team and consultants) includes IIM alumni, Fortune 500-experienced technical leads, and senior engineers averaging 12+ years. ISO 9001:2015 certified. D&B D-U-N-S registered (86-431-9607). 250+ clients shipped across 7 countries since 2009. Every engagement defaults to client GitHub from day one — your code lives on your infrastructure, not ours.
03
What does "AI-paired for 3-5x throughput" actually mean?
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Every senior engineer on the bench is paired with Claude, GPT, or Cursor as a build partner — not as a replacement, as a force multiplier. Measured throughput on identical engagements (same engineer, same problem class, with vs. without AI tooling) consistently lands in the 3-5x range. We pass that productivity dividend to fixed prices instead of billing hours. See
the FORGE method page for the discipline.
04
What happens if the engagement runs over the fixed window?
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We keep working at our cost until the agreed deliverables ship. The fixed price doesn't change. The trade-off: out-of-scope changes are paid change orders, not free additions. Scope is the lever, time and price are fixed. This is in every SOW.
05
Who owns the code?
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You do — from commit one. Every repository is created in your GitHub organization at kickoff. We push directly. There is no Allied BizTech-hosted code, no vendor lock-in, no escrow needed (though escrow is available as an add-on). Our methodology playbooks, prompt libraries, and internal SOPs stay with us. The client-specific implementation is yours.
06
What is the warranty on a shipped build?
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90 days from production launch. Any defect that prevents the system from doing what the SOW said it would do gets fixed at our cost. Out-of-scope changes during the warranty window remain paid change orders. After 90 days, we offer continuous improvement under Managed Upstream or AI Pod retainers.
07
How do you handle data residency and cross-border data transfer?
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Data residency is architected per engagement based on the client's buyers. EU client = EU-hosted defaults (Frankfurt, Dublin). UK client = UK-hosted. US client = US-hosted (us-east-1 or us-west-2). India client = ap-south-1. Cross-border transfers (e.g., engineering team in India touching EU data) are covered by Standard Contractual Clauses in the DPA. GDPR / DPDP / CCPA all addressed per jurisdiction.
08
What does the discovery call cost?
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Nothing. 30 minutes, no obligation. You leave the call with either a scoped SOW within 24 hours, or our honest "this isn't a fit, here's who else to talk to." We do not pitch on the call — we listen, ask sharp questions, and either commit or step aside.
09
Do you work with pre-revenue startups?
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Selectively. Build Foundation (B-00, $7K, 1 week) is designed for founders who haven't validated the business case yet — we test the unit economics before recommending an engagement. If the math doesn't work, we'll say so. About 30% of B-00s end with "don't build this." That's the point.
10
What if I want to compare you against a US-boutique consultancy?
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Do it. The differentiation is straightforward: at our prices a $250K US-boutique engagement is ~$60-90K with us, shipped on the same timeline by senior engineers with 12+ years tenure. The gap is the productivity dividend from AI-paired delivery + India unit economics. We're happy to give references from clients who ran both vendors in parallel.
11
How do you handle confidential or regulated client data during the engagement?
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NDA in every SOW. BAA on file before kickoff for HIPAA engagements. Least-privilege IAM. Encryption at rest and in transit. Audit logs on every privileged action. Security training annual. Verified pattern across 14+ healthcare and 7+ financial-services clients. The /security page has the architectural defaults.
12
Where do I see real client outcomes vs. marketing claims?
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The Case Studies section has five shipped engagements with specifics — $686K reclaimed in 11 weeks (Harvey AI rebuild for an AmLaw 200 firm), 75% manual-task reduction in CRM migration, 8-point win-rate lift in agency-bid automation, sub-2-hour clinical documentation, computer-vision classification at production scale. Each has the stack, timeline, and the lessons we learned. If a claim on the site doesn't link to a case study, treat it skeptically.