Enterprise AI, evaluated on merit
AI chosen on merit.
Your systems already have AI options. We bring deep platform expertise to evaluate them on real fit, connect the ones that win to your enterprise, and operate them with control—so the architecture stays yours to shape.
01 Evaluate on merit
02 Integrate with control
03 Operate at scale
Trusted across critical estates.
Enterprise delivery since 2004.
Proof, by the numbers
Evidence at enterprise scale.
Twenty years of enterprise delivery, expressed in the numbers that matter to the teams evaluating us.
The decision landscape
One enterprise. Many valid AI paths.
We benchmark native platform AI against independent specialists and custom agents using your workflows, data boundaries, governance requirements, and operating economics.
SAP
Joule Studio
Databricks / Snowflake agents
01
Salesforce
Agentforce / Einstein
DevRev
Sybill
02
ServiceNow
Now Assist
Serval
Rezolve.ai
03
Automation
UiPath Autopilot
Automation Anywhere
04
Data
Databricks Genie
Snowflake Cortex
05
Engineering
Claude Code
Copilot
Cursor
Devin
06
Where we apply it
The AI layer, by business function.
Select a function to see the architecture choice and delivery scope. One accountable partner connects each layer back to the same governance model.
Choose the SAP AI path that fits the estate.
Joule handles most finance and supply chain use cases well when the work stays inside SAP. When a use case needs SAP data reasoning alongside CRM, ITSM, or external systems in the same step, we build a custom agent on a governed data layer instead. The choice is made per use case, not once for the whole program.
Extend intelligence beyond the CRM boundary.
Agentforce and Einstein cover sales and service workflows that begin and end inside Salesforce. When a customer relationship needs to be remembered across support, product, and sales in one continuous thread, we bring in independent platforms built for cross-system memory.
Match service intelligence to your operating model.
Now Assist keeps improving inside ServiceNow's ecosystem and, for teams already on the right licensing tier, is the fastest path. When ticket volume or deployment speed calls for more, an AI-native overlay gets there in weeks rather than a platform upgrade cycle.
Move from scripted bots to resilient execution.
Bots that break on exceptions have always needed a human in the loop. The current generation of automation platforms can reason through many of those exceptions instead of stopping and waiting, extending the RPA estate already built rather than replacing it.
Give every agent a governed foundation.
Every agent above this layer is only as reliable as the data it reads. We build the governed semantic layer once, with open protocol support, so conversational analytics and every future agent draw from the same trusted foundation.
Build an AI-enabled engineering system.
Coding agents now plan, edit, and test across a codebase, not just autocomplete a line. We match the agent to the task and keep human review mandatory at every gate, so delivery speed increases without the quality bar moving.
The operating model
From ambiguity to a running AI layer.
Each stage ends with a decision, an accountable owner, and evidence that the next investment is justified.
Map the opportunity
Prioritize use cases and define the value, data, and risk criteria that will guide the program.
Test the fit
Compare native, independent, and custom paths against real workflows—not generic demos.
Integrate with control
Build the connections, governed data, human gates, and observable production workflows.
Scale what works
Monitor, optimize, and extend the AI layer as systems, teams, and the market change.
Autonomous where it helps. Human where it matters.
Enterprise AI needs more than model access. We design review gates, escalation paths, auditability, and operating ownership into the workflow—so teams can move faster without surrendering judgment.
Why TRUGlobal
Systems depth meets independent AI judgment.
Fit before affiliation
Every option is assessed against the same architecture and business criteria.
Context across the estate
ERP, CRM, ITSM, cloud, data, automation, engineering, and operations.
One partner through production
Strategy, integration, governance, adoption, and managed operations stay connected.
20+
Years delivering enterprise systems
9
Delivery centers in five countries
500+
Technology professionals
24
Open roles across global teams
Selected outcomes
Evidence over adjectives.
Complex estates become valuable when architecture, operations, and measurable outcomes move together.
Manufacturing / FinOps
42% lower monthly cloud spend.
Energy / AIOps
68% fewer alerts across the same estate.
Healthcare / Cloud
A secure landing zone in five weeks.
Independent recognition
Built for trust. Recognized for delivery.
External recognition across technology excellence, service strategy, workplace culture, and information security.
Gold Stevie Winner
2024 · Technology Excellence
Bronze Stevie Winner
2025 · Technology Excellence
TITAN Gold
Technical Support Strategy
Great Place To Work®
Certified organization
ISO 27001
Information security management