Why now
AI can help with research, coding, testing and documentation. Experienced people still need to make product decisions, understand your systems and verify that the software works. We bring those responsibilities together.
The Future of Enterprise Software
Build the software that fits your business and strengthens what sets you apart. Akie AI works alongside your teams to define, build and improve it, starting with a focused pilot and clear measures of success.
Years building products and leading technology teams
across global enterprises.
Bring us a software development or transformation challenge. We define the outcome with your team, agree a bounded pilot and measure the result against your starting point.
The work can include new products, modernization and operational workflows shaped to how your business runs. Hosting, integrations and ongoing support are scoped with you.
Success might mean shorter delivery cycles, fewer manual steps or a more reliable service. The evidence from your programme determines the result.
AI can help with research, coding, testing and documentation. Experienced people still need to make product decisions, understand your systems and verify that the software works. We bring those responsibilities together.
AI-assisted development creates an opportunity to spend more attention on planning, review and testing. We measure whether that improves delivery on your programme.
A conventional delivery pattern
The balance we aim for
Choose one workflow, name its owner and document the starting point, acceptance criteria, scope and price.
A senior team uses Akie’s software delivery tools, reviews the work and demonstrates progress against the agreed brief.
Review the evidence together before expanding. Agree deployment, recovery, handover and support responsibilities for the next stage.
Our software delivery tools bring project context, AI-assisted development, review and verification together. We are qualifying the complete delivery process through internal pilots before making broader customer commitments.
Define the user’s problem, the work to be done and how success will be judged. Akie’s delivery foundations support written requirements and acceptance criteria that can be reviewed before implementation.
Akie records project decisions, design choices and source history so later work can use the context already established. Connections to your business systems are separately scoped for each engagement.
Our tools support generating and editing software within a defined project. Engineers remain responsible for the architecture, review and suitability of the result.
Akie includes software checks, preview verification and evidence records. A pilot must also demonstrate the full user journey and recovery in its intended environment before acceptance.
Our delivery foundations include access controls, work approvals and review records. Their operation in a customer’s environment is verified as part of the agreed pilot.
Software delivery foundations are implemented. The complete operating process is undergoing pilot qualification; customer integrations and deployment commitments are agreed separately.
Start with one problem, a named owner and measures that matter to your team.
Keep requirements, tradeoffs and changes to scope available for review.
Use the pilot to assess functionality, delivery effort and quality before committing to more work.
Agree which systems and information the work needs, who can access them and how they will be handled.
Experienced people own the engineering decisions and review AI-assisted work.
Define acceptance, recovery and support responsibilities before a production release.
Akie AI brings 20+ years of product and technology leadership from Amazon, Google and Qualcomm to enterprise software delivery. We combine that operating discipline with senior engineers and agentic AI, owning the work from specification to production.
Built products and led technology teams at Amazon, Google and Qualcomm, with engineering teams across three continents.
We define the problem, customer, requirements and success measures before development begins.
A compact senior team owns architecture, implementation and production quality.
AI accelerates the repeatable work. Experienced people retain judgment, review and accountability.
Our extended team comes from leading companies and universities
Our areas of focus, and the engagements already in flight.
Simplification and cost reduction across the program.
Finance, HR, reporting and analytics: the “AI Hat” across the operation.
Reliable, enterprise-grade software delivery for product (CTO/CPO) and functional areas, built on agentic SDLC.
Centre-of-excellence build-out and organizational redesign, across any of the areas above.
A selection of enterprise programmes in progress. These summaries describe the work and intended outcomes; they are not completed outcome reports. Select Details to read more.
A unified operating layer across inventory, valuation, compliance, manufacturing and finance.
Multiple plants and GST registrations operate across fragmented accounting, inventory and production systems. We are building a company-specific operating layer above the existing estate: consolidated inventory valuation, unit-level visibility, purchasing and imports, GST controls, production workflows, dispatch, accounting and payroll—without forcing a rip-and-replace transformation.
Turning every customer conversation into service improvement, revenue opportunity and accountable action.
Voice agents support service and pre-sales conversations while an intelligence layer analyses interactions for quality, unresolved problems, churn indicators, sales opportunities and compliance gaps. Leadership receives operating insights, underlying customer evidence and actions with named owners—targeting complete visibility across customer conversations rather than sampled call audits.
Preparing finance teams for e-invoicing while improving the operation around it.
We are building a connected e-invoicing and CFO-intelligence capability covering invoice creation, regulatory validation, approvals, exceptions, reconciliation and management reporting. The objective is not merely mandate compliance, but a traceable finance workflow that reduces manual intervention and gives leadership a current view of receivables, exceptions and operating performance.
One operating platform across rates, bookings, tracking, delivery exceptions, COD and reconciliation.
Logistics operations are fragmented across provider portals, pricing rules and tracking systems. We are building a unified orchestration platform that connects providers, standardises shipment workflows and gives operators one view from order creation through settlement—designed to support additional providers without rebuilding the operating process each time.
Amazon and the world’s best product companies built mechanisms that turn customer problems into measurable business outcomes. Akie brings that operating model to enterprise transformation, amplified by engineers working with AI.
Interested in product, engineering or enterprise delivery? Tell us about your experience and the work you want to do.
Introduce yourself by emailThis is an invitation to express interest, not a list of current vacancies.
Tell Akshay about the workflow you want to improve, the people it serves and how you would measure success. We can start by defining a focused pilot.
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