We modernize the core ERP and business systems that run your enterprise — and weave in the AI, data, and engagement layers that make them learn, adapt, and respond in real time. Two practices, one delivery model.
Most transformation programs stall because they're treated as one-time migrations. The architecture lands; the operating model never catches up. Six quarters later, the platform is live and the business still moves at its old speed.
We work differently. Every engagement starts with the operating posture — how decisions get made, where data flows, what the human-AI handoff looks like — and the technology choices follow. AI isn't a layer we bolt on; it's a design principle from the first conversation.
That's what lets a transformation continue compounding long after we've handed it over.
We've separated what we do — but not how we deliver. Every engagement is run by a single accountable team, whether it's a multi-country ERP rollout, an AI agent program, or both at once.
We modernize the operational core — finance, supply chain, manufacturing, retail, distribution. From greenfield rollouts to legacy uplifts, brownfield migrations, and multi-country harmonization. Vendor-agnostic, outcome-led, delivered by senior practitioners who've sat in the buyer's chair.
End-to-end ERP, CRM, commerce, and supply-chain platform delivery. Greenfield and brownfield. Process design, configuration, data migration, change management — to a measurable go-live.
Cloud migrations, S/4 conversions, monolith-to-microservices uplifts, and brownfield re-platforming with zero business disruption. We carry the past forward — not as technical debt.
Composable, API-first integration fabrics that let core systems talk to channels, partners, and emerging AI agents. Built to be swapped, not locked.
24×7 AMS that goes beyond ticket SLAs — continuous improvement targets, quarterly innovation cycles, and KPI-linked commercial models.
AI is its own practice — not a feature we sprinkle on. We build the data foundations, decisioning systems, and agentic workflows that make enterprises learn, adapt, and act in real time. Always engineered for production, not the demo.
Modern data platforms — lakehouses, streaming pipelines, data products, and governance layers — engineered to be the substrate AI actually runs on, not a future migration project.
Production-grade AI agents that reason over enterprise context — order, service, finance, supply, customer ops. Built for the workflows that actually move business KPIs.
ML and optimization models embedded in the workflows where decisions get made — pricing, planning, fulfilment, risk, and customer experience. Closed-loop and continuously learning.
Real-time customer and employee experiences orchestrated by AI — across digital, physical, and conversational surfaces. The home of our Reveza product, and of bespoke programs we build for clients.
The integration & data fabric is where the two practices meet. ERP modernization gives you a clean, queryable system of record. AI & Intelligence makes it act on what it sees. Together, transformation outcomes compound — month over month, not just at go-live.
Reveza Technologies brings together senior practitioners with deep, named delivery histories across global enterprises. A selection of programs we've led or contributed to:
Replaced a fragmented stack with an integrated commerce, ERP, and customer-engagement layer. Operations Intelligence and Customer Journey Intelligence built as separate but composable pillars, with AI-assisted decisioning embedded into store and supply workflows.
Designed and delivered enterprise integration fabrics across plants, partners, and core ERP for two of the world's largest industrial groups. API-first, event-driven, and hardened for high-volume manufacturing throughput.
Multi-country implementations spanning retail, QBR, ticketing, and lifestyle. Localization, fiscal compliance, and rollout governance handled by a single team — across geographies, languages, and tax regimes.
Re-engineered field, supply, and finance processes onto modern ERP and integration layers — laying the data foundation that subsequent AI initiatives now run on.
Engagements above represent named delivery histories of Reveza Technologies' founding leadership and senior practitioners. Detailed references available on request.
Reveza is our real-time customer engagement product for physical retail and service environments — designed to give associates the same intelligence that online journeys take for granted.
The moment a known customer walks in, Reveza surfaces who they are, what they've considered, what's likely next, and how to make this visit memorable. Quietly. On the associate's device. Without redirecting anyone to an app.
It runs alongside whatever stack is already in place — and pays for itself on retention alone.
Identifies returning customers within seconds of entry, with full session context — past visits, preferences, open conversations, and unresolved intent.
Built for the people on the floor. Quiet prompts, suggested next actions, and a tone-aware brief — never a customer-facing app to install.
Surfaces what the customer is likely here for and what they're likely to want next — based on signals from across digital and physical touchpoints.
Every interaction trains the model. Visit outcomes flow back into the engagement engine, so recommendations get sharper week over week.
4–6 week scoped engagement to map your operating posture, pressure-test the technology direction, and produce a costed, AI-aware roadmap.
Multi-quarter programs delivered by senior squads. Co-located leadership, transparent rituals, fixed-outcome economics. We measure ourselves on the business KPI, not the burndown.
24×7 managed services that go beyond ticket SLAs — continuous improvement targets, quarterly innovation cycles, and product-grade observability.
Omnichannel, supply chain visibility, in-store intelligence.
Composable commerce, customer data, lifecycle automation.
Connected operations, planning, finance modernization.
Order orchestration, network visibility, intelligent dispatch.
Customer onboarding, decisioning, regulated AI deployments.
Patient experience, supply integrity, clinical operations.
Guest intelligence, loyalty, real-time service orchestration.
Citizen platforms, data spaces, mission-critical modernization.
Transformation is continuous, not punctual. Every system we build assumes the world will change underneath it.
AI is inclusive, not extractive. The best deployments make humans more capable — not redundant.
The future of enterprise software is composable, not monolithic. We design for the swap, not the lock-in.
And the best technology partner is the one whose work keeps compounding long after they've left the room.