Industry expertise · Technology
Technology
Technology companies must turn heavy AI spending into durable revenue. We help with monetization, pricing, cloud economics, and the operating discipline that keeps growth investable.
The challenge
The technology industry's defining question is converting unprecedented AI infrastructure spending into durable revenue and measurable productivity. Monetization is shifting from per-seat subscriptions toward usage-, consumption-, and outcome-based pricing, forcing changes to packaging, forecasting, and unit economics even as customers demand cloud-cost discipline from their vendors.
Internally, engineering organizations are redesigning workflows around AI agents, restructuring portfolios, and defending cloud and data-platform budgets with efficiency evidence. Underneath sit persistent requirements: security and AI-safety demands, developer productivity, and the talent mix to ship what the roadmap promises.
Recent engagement profiles
- Designed a usage-based pricing and packaging model for a B2B software firm migrating from per-seat contracts, protecting committed revenue during the transition.
- Built a cloud cost governance and FinOps program for a SaaS provider, tying gross margin reporting to engineering decisions.
- Implemented quarterly planning and portfolio rationalization for a technology company reallocating investment toward AI product lines.
- Led a customer success and renewal process overhaul, improving net revenue retention and expansion forecasting.
- Evaluated AI-agent developer workflows for an engineering organization, defining measurement and an adoption plan.
- Supported a go-to-market reorganization for a data platform vendor, aligning segments, coverage, and compensation.
Functional experience
We have helped our clients with innovative solutions in the following functional areas:
Monetization and pricing
- Usage, consumption, and outcome-based pricing design
- Packaging, entitlements, and migration strategy
- Deal desk, discount governance, and unit economics
Cloud and platform economics
- FinOps governance, showback, and cost allocation
- Gross margin and infrastructure efficiency reporting
- Vendor and compute capacity strategy
Go-to-market and growth
- Segmentation, coverage, and compensation design
- Renewal, expansion, and customer success operations
- Competitive positioning and analyst support
Engineering and delivery operations
- Developer productivity measurement and AI-agent workflows
- Portfolio planning and roadmap rationalization
- Security, reliability, and AI-safety operating practices