Traditional IT services and BPO scale with headcount. Every automation gain erodes the provider's revenue. The incentive to truly transform is structurally limited — and enterprise buyers have noticed.
Enterprise platforms keep adding features, but most still require consultants and service teams to make them work. The software is there. Someone still has to run the operation.
AI agents that sense, decide, and act within enterprise workflows — not alongside humans as tools, but as always-on participants. With humans governing exceptions, strategy, and continuous improvement.
— iOPEX strategic perspective
Net positive sentiment toward Services-as-Software delivery
Net sentiment on traditional staff augmentation
Rate value-based pricing as highly relevant
Want self-funded transformation to drive innovation
Source: HFS Research, 2025
Real-time demand signals, friction points, and operational patterns — surfaced continuously from your live workflows across Salesforce, ServiceNow, and your broader ecosystem.
Priorities and trade-offs determined automatically. Humans govern exceptions, policy, and strategic direction. The system handles the cognitive routine — your people handle what matters most.
Orchestrated execution through Command Agents and embedded teams. 1,000+ agents in production across finance, IT, sales, CX, media, and revenue operations — running, not demoing.
Every cycle feeds back. Models refine. Playbooks evolve. The operation gets structurally better each quarter. Cost declines. Quality compounds. That's the design, not a side effect.
Customer and product support, service assurance, case lifecycle management, field service coordination, entitlement and warranty operations. Operated end-to-end with embedded intelligence.




Renewals, quoting & CPQ, usage monetization, revenue leakage prevention, deal operations, billing orchestration. Intelligence applied to every stage of the revenue cycle.




Product support intelligence, usage analytics, defect and quality feedback loops, time-to-value acceleration. Connecting product performance directly to operational execution.


Revenue reconciliation, usage-based billing operations, audit readiness, operational controls. Making the financial backbone of operations transparent and intelligent.


Purpose-built AI agents that sense, decide, and act across enterprise workflows. 1,000+ in production across ServiceOps, RevOps, Finance Ops, Infra Ops, CX, and Media. Deployed in 30–60 days via Agentic AI Studio.
Our GenAI and MLOps hub. Scalable data pipelines, model fine-tuning, multi-LLM support, and enterprise-grade security. The foundation that powers every Command Agent and operational intelligence layer.
AI-powered RPA migration that compresses timelines by 70%. Komprehend for intelligent document processing. PexMiner for quality audits. Each reduces time-to-value inside domain engagements.
Enterprise-grade data engineering and AI systems that transform raw data into operational intelligence. Governed pipelines and production-ready models ensure AI performs reliably and scales across enterprise workflows.
Every agent eliminates a category of manual work—from routing customer issues and predicting equipment failures to closing financial books and optimizing campaign spend—proving that Intelligence as a Service means operations that run themselves.
Delivery models designed so effort and cost go down as volume and complexity increase. AI economics engineered from day one — outcomes improve without adding layers of operational cost.
We run operations as software-like systems. AI handles routine work. Humans govern exceptions and strategy. Platform-centric but platform-agnostic — optimized for Salesforce, ServiceNow, and beyond.
We sign up for measurable business outcomes — cost-to-serve, revenue realization, SLA adherence. Not projects. Not effort. When you improve, we improve.
Deep operating experience translated into named, reusable, evolving assets. Governance and AI discipline embedded into how the operation runs — not bolted on after the fact.
As a private, founder-led company, we can commit to effort reduction, outcome-linked pricing, and automation-first delivery that public incumbents structurally cannot match.
Services-as-Software doesn't work on top of accumulated process, data, and technology debt. We build debt reduction into delivery — identifying and unwinding it as part of how we operate.

Unified knowledge. Automated workflows. Faster, more reliable support for millions of terminals.

Faster reconciliation cycles. Audit-ready accuracy. Stronger financial governance across retail footprint.

Reduced manual effort. Improved pricing accuracy. Unified, efficient workflow across regions.

Boosted agent productivity. Improved journey visibility. Faster, reliable support at scale.

Reduced reconciliations and month-end delays. Improved forecast accuracy. Scalable revenue management.

Streamlined discovery. Cut turnaround time. Roadmap for scaling automation in complex operations.
Subscription models, telemetry-rich operations, renewals and service tightly coupled to revenue
High-volume service and revenue operations, BSS-like complexity, strong cost pressure
Omni-channel orchestration,
revenue leakage mitigation,
high-volume customer support
and first-party data monetization
at scale
Rules-driven operations, revenue leakage risk, strong CFO ownership and compliance