Enterprise modernization and AI, delivered by embedded engineers.
Every engagement is scoped against measurable business outcomes, delivered by Forward Deployed Engineers working inside your team, and priced on what you receive — not what we bill.
AI Services
Production-grade AI integrated into enterprise operations — ERP, CRM, PLM. Not pilots, not prompt-tinkering. Built by engineers.
Enterprise AI Readiness Assessment
EnterpriseBoard-ready AI strategy, prioritized roadmap, and data gap analysis in 4–6 weeks.
Outcomes
- ✓Board-ready AI strategy with prioritized roadmap and data gap analysis
Risk of not acting
- !Unclear AI direction leading to fragmented pilots and wasted spend
- !Hidden data quality and governance gaps that block enterprise-scale AI adoption
- !Increased competitive risk as peers deploy AI into core operations
Why Zenarai
- →Structured assessment grounded in production AI engineering
- →Independent — we don't sell hyperscaler licenses on the back of it
- →Direct path from assessment into outcome-based delivery
AI Agent & Workflow Automation
Production-grade agentic workflows that run business processes end-to-end.
Outcomes
- ✓Target business process runs autonomously end-to-end
- ✓Knowledge worker hours saved measurable within 60 days
Risk of not acting
- !Manual processes that don't scale with growth or M&A
- !Knowledge worker time absorbed by repetitive, low-value workflows
- !Competitive disadvantage as peers automate core operations
Why Zenarai
- →Built by engineers, not prompt-tinkerers — production-grade from day one
- →Embedded LLM integration into ERP, CRM, and PLM systems
- →Outcome-based delivery tied to measurable hours saved
Intelligent Document Processing
Contracts, invoices, and compliance documents processed straight-through at scale.
Outcomes
- ✓Contract review time reduced by 80%
- ✓Invoice processing straight-through rate above 90%
Risk of not acting
- !Rising operational cost from manual document handling
- !Increased compliance exposure due to inconsistent data capture
- !Slow cycle times that limit scalability and downstream automation
Why Zenarai
- →Domain-tuned extraction models, not generic OCR
- →Embedded engineers calibrate accuracy against your data
- →Integration into existing ERP/CRM/DMS systems
Modernization
Re-platform critical systems without the multi-quarter discovery phases that traditional SIs require. Outcome-based delivery against measurable modernization milestones.
Legacy Application Modernization
Enterprise.NET, Java, Mainframe, AS400, COBOL re-architected to cloud-native — without business disruption.
Outcomes
- ✓Mainframe workloads migrated to cloud-native with zero business disruption
- ✓Legacy .NET monolith decomposed into microservices, deployment time reduced from 2 weeks to 4 hours
Risk of not acting
- !Increasing operational and security risk from unsupported frameworks
- !Shrinking talent pool for Mainframe/AS400 and other legacy technologies
- !Rising compliance exposure and escalating maintenance costs
Why Zenarai
- →Forward Deployed Engineers embedded directly with your team
- →Outcome-based delivery with measurable modernization milestones
- →Transparent execution with built-in knowledge transfer — no black-box delivery
CRM Migration (Salesforce/HubSpot → Zoho)
AI-assisted data mapping, zero-disruption cutover, and measurable adoption milestones.
Outcomes
- ✓100% data fidelity across contacts, accounts, opportunities, and history
- ✓Sales team productive on Zoho within 30 days of cutover
- ✓70% reduction in CRM licensing costs
Risk of not acting
- !Rising CRM licensing costs with no corresponding productivity gains
- !Fragmented customer data across systems, reducing forecasting accuracy
- !High operational risk during future integrations or GTM automation initiatives
Why Zenarai
- →AI-assisted data mapping for accuracy and speed
- →Embedded Forward Deployed Engineers ensure zero-disruption cutover
- →Outcome-based delivery with measurable adoption and productivity milestones
Cloud & Infrastructure Modernization
AWS, Azure, GCP modernization driven by cost, performance, and SLA outcomes.
Outcomes
- ✓30–40% reduction in cloud infrastructure spend
- ✓99.9% uptime SLA achieved post-migration
Risk of not acting
- !Mounting technical debt and unpredictable infrastructure spend
- !Compliance and resilience gaps in unmodernized environments
- !Slow release velocity due to legacy infrastructure tooling
Why Zenarai
- →Embedded engineers working inside your platform team
- →Outcome-based engagement aligned to cost and SLA targets
- →Production-grade landing zones, not reference architectures
Specialist Services
Deep specialization in PLM, platform engineering, and FinOps — domains where embedded expertise outperforms generalist consulting every time.
PLM Modernization (PTC Windchill, Teamcenter)
EnterpriseSemantic parts search, ECO automation, and modernized product data workflows.
Outcomes
- ✓Semantic parts search deployed, duplicate part creation reduced by 60%
- ✓ECO cycle time reduced from 3 weeks to 4 days
Risk of not acting
- !Rising engineering overhead from fragmented product data and outdated workflows
- !Increased ECO bottlenecks that slow product releases and regulatory compliance
- !Escalating PLM customization debt that becomes harder and costlier to maintain
Why Zenarai
- →Deep PTC Windchill and Teamcenter expertise
- →Engineers embed directly with your PLM and engineering teams
- →AI-augmented parts search and ECO routing built in
Platform Engineering & DevSecOps
Internal developer platforms that 10× deployment frequency and standardize security.
Outcomes
- ✓Deployment frequency increased 10×
- ✓Developer onboarding time reduced from 2 weeks to 1 day
Risk of not acting
- !Slower release cycles due to fragmented tooling and manual deployment processes
- !Increased security exposure from inconsistent environments and ad-hoc controls
- !Rising engineering overhead as teams scale without platform standardization
Why Zenarai
- →Internal Developer Platform patterns proven at enterprise scale
- →DevSecOps integrated at the platform layer, not bolted on
- →Knowledge transfer to your platform team built in
FinOps & Cloud Cost Optimization
Identify waste, optimize architectures, and automate spend anomaly detection.
Outcomes
- ✓Cloud waste identified and eliminated within 30 days
- ✓Ongoing spend anomaly detection automated
Risk of not acting
- !Uncontrolled cloud growth leading to budget overruns
- !Hidden waste in idle resources, over-provisioned services, and misaligned architectures
- !Lack of cost visibility across teams, slowing modernization and AI initiatives
Why Zenarai
- →FinOps engineers, not financial analysts — we change the architecture, not just the report
- →Outcome-based engagement tied to verified savings
- →Embedded inside platform and finance teams
Not sure which service fits your problem?
Book a 30-minute Discovery Call. We'll map your situation against an outcome and tell you whether we're the right team — or who is.
Book a Discovery Call