The Algorithm vs. Infosys / HCL / Wipro

The staff augmentation model creates a misalignment of incentives that is structural, not incidental. When a vendor's success metric is headcount placed and hours billed, and the client's success metric is production systems delivered, these metrics diverge at the contract level. A vendor who maximizes headcount placed has an incentive to deploy more engineers than the project requires — because each engineer is a billing unit. A vendor who maximizes hours billed has an incentive to extend the engagement — because an engagement that finishes early is a revenue shortfall. These are not malicious intentions. They are the predictable consequences of a contract structure that treats engineer-hours as the unit of value rather than production systems as the unit of value. Every status meeting where progress is measured in hours burned rather than features deployed to production is a status meeting in an engagement governed by the wrong incentive structure. The Indian IT majors are not uniquely bad actors — they are firms that have built efficient organizations around the contract structure that their market offers. The problem is the contract structure, and the contract structure is staff augmentation.

Generalist firms without vertical IP cannot provide compliance engineering — they can provide compliance consulting. The distinction matters in regulated industries. Compliance consulting tells you what the regulation requires and what your system should do to satisfy it. Compliance engineering builds those requirements into the system at the architecture level so that compliance is a property of the system, not a property of the documentation that describes it. A firm serving hundreds of verticals cannot maintain pre-built compliance infrastructure for healthcare, financial services, energy, and government simultaneously. The compliance tooling that makes compliance engineering efficient — automated audit trail generation, continuous control validation, regulatory framework mapping at the code level — requires years of investment in a specific vertical context to build. Infosys, HCL, and Wipro do not have this infrastructure. They cannot build it on a per-project basis. What they provide instead is a compliance advisory overlay: engineers who have read the compliance specification for this project and are implementing it to the best of their general engineering judgment. The gap between that and compliance-native engineering is visible at audit, not at sprint review.

Agile-branded waterfall is the operating model at scale. The ceremonies are agile: sprint planning, daily standups, retrospectives, sprint reviews, velocity tracking. The delivery cadence is waterfall: production deployments are rare events that require multiple rounds of approval, environment preparation, compliance review, and change management documentation that was never designed to fit inside a two-week sprint. The result is an engagement that generates significant activity — meetings, reports, demos, staging deployments — and minimal production output. Sprints end with features that work in the demo environment. Production deployments require a separate process that takes longer than the sprint. By month twelve, the client has funded twelve months of sprint ceremonies, received twelve months of demo outputs, and has a staging environment and a compliance remediation backlog. The backlog was not in the original estimate. The remediation of the backlog is an additional engagement at additional cost.

The Algorithm's talent model solves the quality-cost tradeoff that the Indian IT majors have not solved. We hire engineering talent from India's strongest engineering universities — the same talent pool that Infosys and Wipro recruit from. We train that talent in compliance-native engineering before they encounter their first client engagement. We embed that talent in delivery teams led by US and UK senior engineers with ten or more years of regulated industry experience. The result is senior-quality compliance engineering at offshore price points — not because we cut corners on talent, but because we invest in the pipeline that the Indian IT majors do not. Our engineers are not generalists learning your compliance framework on your budget. They arrive knowing HIPAA, SOC 2, FCA, and the other frameworks relevant to your engagement. The difference is not in where the engineers are located. It is in what they know before they start.

Infosys / HCL / Wipro vs. The Algorithm

What Switching From Infosys Actually Looks Like

Migrations from the Indian IT majors typically begin with a compliance audit that reveals the gap between what was documented and what was built. The Algorithm enters with a two-week assessment: we run the compliance scan against the existing system, map the gaps against the applicable framework, and produce a remediation roadmap with fixed-price commitments. In parallel, we assess the codebase for architectural decisions that create compliance risk — access control designs, data handling patterns, audit logging implementations — and prioritize the items that create the highest regulatory exposure. By week four, critical-path remediation is in progress alongside a parallel architecture for items that cannot be patched without rework. By week twelve, the remediated system is in production, compliant on deployment day, with automated monitoring active through SentienGuard. The previous vendor is off the engagement. The client owns the architecture, the compliance documentation, and the monitoring infrastructure that runs continuously.

What Buyers Ask Before Switching From Infosys

Done with Infosys? Let's talk.

We've seen how these engagements go. The facts are the facts — and there's a better path forward.