One shared brief
Business outcomes, system boundaries, risk, and ownership are agreed before platform decisions begin.
Services
One team. Every system between strategy and production.
ERP, cloud, data, and engineering work best when they move together. We run all of them under one governance model, so the plan made in strategy is still the plan your teams are following at go-live.
One accountable team
The strongest programs are the ones where every practice stays connected.
The best enterprise outcomes come from strategy, systems, and operations moving as one continuous plan. When one team scopes the work, a second team builds it, and a third team runs it, each needs full visibility into what the others are doing.
We run these practices together, under one accountable team, so the plan made in strategy is the plan that reaches production, and the team that builds a system stays reachable by the team that runs it.
Connected practices
Cloud, data, engineering, and enterprise systems work from the same architecture and release plan.
Evidence at each gate
Quality, security, cost, and adoption evidence determines when work moves into production.
Continuity after go-live
The operational team inherits the decisions, context, and people behind the system—not just a handover document.
The practices
Eight capabilities. One delivery system.
Start with the practice closest to the immediate need. We connect it to every adjacent system, team, and operating requirement involved in getting the outcome into production.
01
AI & Digital Transformation
Strategy, GenAI solutions, and intelligent automation built on an established RPA and machine learning practice.
Explore the practice 02Data & Analytics
Governed data platforms, lakehouses, and BI that give the business trusted answers and every AI initiative a foundation.
Explore the practice 03TotalCloud
Cloud strategy, migration, and unified operations across hybrid and multi-cloud, built on the CloudUnifAI platform.
Explore the practice 04Engineering Services
Application engineering, DevOps, product design, and delivery for MES and PLM systems.
Explore the practice 05Managed IT Services
Infrastructure, security, AMS, and monitoring that keeps what is already built running with AI-assisted operations.
Explore the practice 06Enterprise Transformation
Implementation and modernization across Oracle, SAP, NetSuite, Microsoft, Salesforce, and ServiceNow.
Explore the practice 07Quality Engineering
Functional, non-functional, and AI-driven test automation integrated into the same pipelines Engineering already runs.
Explore the practice 08Professional Services
Finance and accounting operations with repetitive work automated while decision authority stays with your team.
Explore the practiceIn practice
Most engagements touch more than one practice. Here is what that looks like.
The practices sit under one roof because the ones an enterprise needs rarely stay separate for long.
An ERP modernization
Usually starts in Enterprise Transformation, but the data migrated during that program is what Data & Analytics builds the governed layer on, and what Managed IT Services keeps observable after go-live.
A cloud cost reduction program
Runs through TotalCloud, but the workloads being moved were often built by Engineering Services, and savings are verified through the FinOps visibility CloudUnifAI already provides.
An AI use case
Scoped in AI & Digital Transformation, evaluated against the systems it will touch, built by the practice that owns that system, and handed to Managed IT Services to operate. One team carries it end to end.
Evidence
42% lower monthly cloud spend.
A cross-practice manufacturing engagement combined TotalCloud, Data & Analytics, and Managed IT Services into a single cloud cost reduction program.
Request the case study →Start with the practice you need. We will tell you what else it touches.
The structured AI-readiness review reviews your systems and identifies which practices are involved before any engagement begins, so the scope is accurate from the first conversation.