1Point1 Solutions ResolX reaches 14 enterprise deployments

1Point1 Solutions Limited’s ResolX reached 14 deployments across seven enterprise clients within five months of launch, while a leading insurance deployment reduced average handling time by about 24%. The platform is moving from individual AI tools toward linked workflows that combine automation, enterprise systems and human operations.

How far has ResolX moved beyond pilot deployments?

ResolX has reached 14 deployments across seven enterprise clients in five months, according to management’s November 5, 2026 Q2 FY27 call. The deployments span insurance, aviation, banking, automotive and digital assets, giving 1Point1 Solutions exposure to multiple enterprise operating environments rather than a single industry use case. Management said existing customers are adding workflows and that new deployments are entering live enterprise environments.

The platform’s stated model is Resolution as a Service, under which ResolX orchestrates AI, workflows, enterprise systems, data and human expertise for end-to-end execution. This differs from selling a standalone bot or AI tool because 1Point1 Solutions says it is seeking accountability for measurable operating outcomes. Management described the five-month deployment count as validation that the platform can address varied industry requirements, though it did not disclose contract values or revenue attributable to ResolX.

What results has Frequency delivered in insurance?

Frequency delivered four times the voice-audit coverage, 50% faster agent feedback and about 24% lower average handling time in a leading insurance deployment. Management also reported a 79-point improvement in customer satisfaction, alongside lower hold times, fewer agents in the bottom performance quartile and personalised coaching plans across the operation.

These metrics distinguish the insurance use case from a simple customer-facing automation deployment. Frequency measures conversations, identifies improvement opportunities and supports coaching, linking quality assurance to employee performance. The reported change in average handling time and feedback speed suggests that the platform is being used within live contact-centre operations, while the fourfold increase in audit coverage indicates a broader review process than the prior approach.

Omvia provides a second example of expanding use within an existing account. Its number of live agentic bots more than tripled over the preceding three months at India’s largest private-sector life insurance company, where it supports seven Indian languages. Additional bots have been approved for rollout, and integration with a third-party collections platform is intended to extend Omvia from customer onboarding and engagement into recovery workflows.

How is ResolX expanding across enterprise workflows?

ResolX is expanding from customer engagement into hiring, workforce preparation, live-interaction support, communications, conversation assessment and journey orchestration. Management mapped RightFIT to hiring and assessment, NETS to training and readiness, an unspecified assist capability to live interactions, Penpal to customer communication, Frequency to conversation measurement, and Omvia to end-to-end customer journeys and workflows.

RightFIT is already deployed internally at 1Point1 Solutions for mid-management and senior-leadership hiring. The AI-powered hiring product uses role matching, structured voice interviews and evidence-backed scorecards. Management presented this internal use as a proof point before a broader enterprise-market rollout, rather than saying that RightFIT has already been commercially deployed with external clients.

NETS has secured approval for deployment at a leading insurance company within one month of launch. The workforce-readiness product combines realistic role plays, personalised feedback and repeated practice for customer-facing employees. Approval is an earlier stage than a live deployment, but it indicates that a regulated insurance customer has cleared the product for implementation. Together with the seven-language Omvia deployment, it shows that 1Point1 Solutions is targeting several points in an enterprise talent and customer-service lifecycle.

How could ResolX scale within 1Point1 Solutions’ operating model?

Management plans to scale ResolX through deeper deployments in existing enterprises, replication of proven workflows across customers in the same sector, and expansion into additional functions. The reusable-workflow and microservice approach is intended to shorten implementation, improve delivery economics and increase operating leverage. These are management’s plans and objectives, not financial guidance, and the company did not quantify anticipated ResolX revenue or margins.

The platform sits alongside 1Point1 Solutions’ customer-experience operations and Clariva, an AI summarisation tool for North American healthcare and insurance. Clariva processed more than 100,000 records a month in the latest quarter, with output in less than three days and reported accuracy as high as 99.7%. That operating metric is separate from ResolX’s 14 deployments, but management cited both products as evidence that its AI offerings can be applied to existing domain-focused service operations.

The broader company reported Q2 FY27 revenue from operations of Rs 174.96 crore, up 147% year on year and 10.5% sequentially. Earnings before interest, tax, depreciation and amortisation, or EBITDA, were Rs 45.32 crore, compared with Rs 39.38 crore in Q1 FY27, while the EBITDA margin rose by about 100 basis points sequentially to 25.9%. Management said it would provide greater visibility on AI’s financial contribution once deployments become material to the consolidated business.

Conclusion

The 14 deployments across seven clients provide an early operating measure of ResolX adoption, while the reported insurance metrics show how 1Point1 Solutions is framing the platform around service outcomes such as handling time, audit coverage and feedback speed. Omvia’s more-than-tripling of live bots over three months and the planned collections integration show that management is pursuing expansion inside existing enterprise accounts as well as new deployments.

The next point to watch is execution in the second half of FY27. Management said its priorities are to execute new wins, scale the business, continue AI deployments and convert its pipeline into profitable growth. It also plans further investment in the AI platform and said the product remains under development, with possible capitalisation in a coming quarter once revenue generation becomes consistent.