Engagement methodology
How we engage on
complex software.
Structured engagements for software with real complexity — multiple integrations, regulated data, legacy dependencies, or AI decision layers. How we scope, price, and commit at each stage.
Discovery sprint: 2–4 weeks, fixed price. Architecture, estimate, and risk register — before any build commitment.
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Scoping & estimation
How we estimate
We scope against shippable user stories, not man-days. A user story has a clear acceptance criterion: “A logistics dispatcher can reassign a route in under three clicks.” We estimate how long it takes to make that true and testable — not how many hours a developer will sit at a keyboard.
That discipline matters because it forces clarity before a single line of code. It also means your project manager can track progress in plain language, not spreadsheets.
What drives variance in the estimate
Third-party integrations
Every external API, ERP connector, or legacy database adds integration surface. Undocumented or poorly-maintained third-party systems add disproportionate time. We price this risk honestly upfront rather than absorbing it quietly mid-project.
Compliance & regulatory surface
DPDP, RBI data-localisation, SEBI audit-trail requirements — each adds non-negotiable engineering work. We account for the compliance layer in the discovery sprint so it doesn't surface as a surprise at go-live.
Legacy entanglement
Replacing a monolith, migrating off an on-premise system, or grafting AI onto a 15-year-old codebase is slower than greenfield work. We say so in the discovery output so you can make a genuine build-vs-replace decision.
For a broader look at software lifecycle economics — pricing models, total cost of ownership, QA investment, and support SLAs — read our guide on custom software development cost in India.
Engagement shapes
Four ways to engage
Every project is different. We offer four shapes so the contract structure matches the risk profile of the work, not a one-size template.
Fixed-scope first phase
4–8 weeks · Fixed priceThe smallest shippable slice of value — a working feature, not a prototype — before any larger commitment. You see how we work, how we communicate, and what our code looks like in production. We prove velocity and quality on real scope, not a showcase demo. Most long engagements start here.
Time & materials with a cap
Predictable ceiling · Flexible scopeFlexible scope within a pre-agreed budget ceiling. You can reprioritise stories sprint-to-sprint as learning emerges; we stop and report when we approach the cap so there are no invoice surprises. Right for projects where full scope isn't known upfront but budget tolerance is finite.
Retainer
Monthly velocity · OngoingA dedicated engineering capacity on a monthly basis. You direct the backlog; we maintain a consistent sprint velocity. Retainers suit teams that have shipped their MVP and need ongoing development, AI-agent maintenance, or managed engineering bandwidth without headcount.
Outcome-linked
For well-defined problemsWhere the problem is well-defined and the result is measurable — reduce underwriting cycle from 9 days to 3, increase order-match accuracy above 95%, reduce manual exception handling by 70% — we can structure part of the fee around hitting those metrics. Requires a discovery sprint first so both sides agree on the baseline.
Risk-reversal options
How we reduce your risk before you commit
Structural options to reduce commitment risk before a large engagement. Each gives you the information needed to make a sound decision about proceeding.
Discovery sprint
2–4 weeks · Fixed priceThree deliverables: a technical architecture document, a detailed estimate broken down by user story, and a risk register covering every dependency, assumption, and unknown that could affect delivery. These documents are yours. If after reviewing them you decide not to proceed, you can take them to any team.
This option answers the estimation question before you sign a build contract. It is the right starting point for any project above moderate complexity.
Fixed-scope first phase / MVP
4–8 weeks · Fixed priceThe smallest shippable slice of the full vision — a working feature, not a prototype — before committing to the full build. At the end of this phase you have software in production and a concrete picture of our velocity and code quality.
Warranty period
4–8 weeks post-handoffAfter handoff, bugs and regressions are fixed at no cost for 4–8 weeks depending on project size. This is not a helpdesk clause. It means that if something we built breaks — including edge cases that only surface under real user load — we fix it without a new statement of work. Scope creep and new feature requests are separate; defects in shipped work are covered.
Discovery sprint: fixed price, 2–4 weeks. Architecture, estimate, and risk register before any build commitment.
Book a discovery sprintBilling transparency
What you don't pay for
Transparent process, transparent numbers. Here is what we have removed from the invoice.
No licensing markup
Cloud credits, software licences, and infrastructure costs pass through at actual cost. We do not take a margin on tooling. You can see the provider invoices.
No overhead billing
You are billed for people who work on your project. Internal meetings, recruitment, training, and administrative overhead are not billed to client engagements.
No “PM hours” that don't ship code
Coordination, status reporting, and documentation are part of delivery — they are not billed as a separate line item on top of engineering hours. If it is not moving a user story to Done, it is not on your invoice.
Why ITMTB for complex work
Why complex software specifically
Complex software — systems with multiple integrations, AI decision layers, compliance constraints, or legacy dependencies — demands an engagement model built for that complexity. Fixed-price projects with vague scope get descoped late. T&M projects without clear ownership drift. The delivery model is where complex projects break, not the engineering.
We built our engagement model specifically around complex operations software — projects where scope ambiguity, integration risk, and compliance requirements make standard engagement models unreliable. Our cloud, QA, security, and data capabilities are the delivery stack underneath every AI agent deployment — not separate services, but load-bearing infrastructure.
The evidence is in the work. Our complex software success stories show what this looks like in practice: a supply-chain image-matching system at 99% efficiency gain, a BI platform pulling four AI models together with minimal human input, a D2C logistics stack that tripled organic traffic in four months.
What “AI-native delivery” means here
AI-native does not mean we add a chatbot. It means the core delivery model uses AI agents for code review, test generation, dependency analysis, and release monitoring — which compresses the QA and integration cycles that inflate estimates on complex software. That compression is what lets us hold a fixed price on work that competitors quote as T&M.
The industries we have shipped in
- Supply chain & logistics operations
- Financial services & investment platforms
- D2C e-commerce & retail operations
- Healthcare & life sciences data platforms
- Banking & insurance workflow automation
The process
What working with us looks like, week by week
No black boxes. No quarterly check-ins on a multi-month project.
Week 1–2
Discovery
Architecture, integrations, compliance surface, risk register. Shared document — you see everything.
Week 3–4
Scoping
Stories written, estimated, and prioritised. You see the estimate by story so you can reorder the backlog before we start.
Execution
Weekly reports
Progress report each week — work shipped, blockers surfaced, backlog updated. Full visibility throughout. No surprises at handoff.
Handoff
Clean exit
Documentation, runbooks, and 4–8 week warranty cover. Your team owns the codebase with no vendor lock-in.
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