Three ways we work with enterprise teams
Modernize the systems
Cloud strategy, migration and cost control. CI/CD pipelines and infrastructure as code on Git, Jenkins, Terraform, Docker and Kubernetes, on a roadmap tied to how the business runs.
Take AI into production
A scoped business problem, governed data access, evaluation before release, and autonomous agents for IT operations, FinOps and DevOps, handed over as a deployed system your own engineers own.
Upskill your teams
Live, hands-on programs that build software craftsmanship and full stack product engineers inside your teams, from foundations through live project work and ongoing coaching.
Six consulting practices, one bench
Agentic AI development
Cloud and DevOps
Cloud strategy, readiness and total cost of ownership planning. Migration and modernization with minimal disruption. CI/CD pipelines and infrastructure as code on Terraform, Docker and Kubernetes, plus ongoing cost governance, so the bill is one you can explain at the end of the quarter.
Architecture
Technology roadmaps aligned to your IT infrastructure and business objectives. System simplification for efficiency and maintainability, and governance that keeps delivery honest, with the legacy estate accounted for, not ignored.
Agentic AI development
Cloud and DevOps
Cloud strategy, readiness and total cost of ownership planning. Migration and modernization with minimal disruption. CI/CD pipelines and infrastructure as code on Terraform, Docker and Kubernetes, plus ongoing cost governance, so the bill is one you can explain at the end of the quarter.
Architecture
Technology roadmaps aligned to your IT infrastructure and business objectives. System simplification for efficiency and maintainability, and governance that keeps delivery honest, with the legacy estate accounted for, not ignored.
Transformation and tech strategy
Digital transformation planned around how the business makes money: business-driven solutions, process and system simplification, and the alignment across teams to carry the plan through.
Agile transformation
Scrum, Kanban and Lean Agile practices, from Scrum Master and Product Owner fundamentals through value stream mapping, release planning and scaling agile, backed by Agility Health, DevOps, infrastructure and quality engineering maturity assessments that show your teams exactly where they stand.
Data and web analytics
Adobe Analytics, Target, Audience Manager and Campaign. Google Analytics 360 and BigQuery. Implementation, A/B testing and reporting you can trust, so the next argument is about strategy rather than the numbers.
Transformation and tech strategy
Digital transformation planned around how the business makes money: business-driven solutions, process and system simplification, and the alignment across teams to carry the plan through.
Agile transformation
Scrum, Kanban and Lean Agile practices, from Scrum Master and Product Owner fundamentals through value stream mapping, release planning and scaling agile, backed by Agility Health, DevOps, infrastructure and quality engineering maturity assessments that show your teams exactly where they stand.
Data and web analytics
Adobe Analytics, Target, Audience Manager and Campaign. Google Analytics 360 and BigQuery. Implementation, A/B testing and reporting you can trust, so the next argument is about strategy rather than the numbers.
Upskilling that leaves your team able to build without us.
Live programs on your own stack, taught by the practitioners who lead the consulting, with a working system at the end rather than a certificate of attendance. Four tracks, each with its own page in the Upskilling menu.
Forward Deployed Engineer
From technology engineer to customer-ready AI engineer. One enterprise AI problem taken from scoping through prototype, production and customer adoption.
- 6 to 8 weeks, project-led, for engineers with 3 to 8 years' experience
Gen AI
RAG assistants, MCP-enabled agents and multimodal pipelines, each one deployed to a live environment. A graduate track, and a track for existing teams on your own codebase.
- 16 weeks for graduates, 6 to 8 weeks for teams
Agentic AI
Agents with real integrations on LangGraph, MCP and FastAPI, with evaluation as the release gate and security and governance built in from the first sprint.
- For engineers who already ship, dates and format on enquiry
Cloud and DevOps
CI/CD pipelines, infrastructure as code and containers on Git, Jenkins, Terraform, Docker and Kubernetes, taught on the systems your team already runs.
- Live, on your own stack, for engineering and platform teams
Also running
Technologies we work on
Teams we have worked with
The gap is never the model. It is everything around it.
Most enterprise AI pilots work. Most of them never go live. What stops them is the parts a demo leaves out: data access with permissions attached, an evaluation set, a deployment path, monitoring and an engineer who owns the system after the consultants leave.
TEKMentors was built for that gap. We scope the business problem before the architecture, build against your real data and hand over to a team we have trained to run it. The same practitioners do the consulting and teach the programs, which is why both hold up after the engagement ends.
BEFORE
Disconnected pilots
Notebook prototype
Runs on one laptop. No owner after the demo.
Data pulled by hand
Exports and spreadsheets. Nothing repeatable.
Quality judged by vibes
No eval set, so no way to prove it improved.
Security consulted last
Review arrives after the build, and blocks it.
No path to production
The pilot succeeds. The rollout never starts.
AFTER
One governed pipeline
Scoped business problem
Named owner, measurable outcome, agreed baseline.
Governed data access
Permissions and lineage handled in the pipeline.
Agent in the real workflow
Integrated where the work already happens.
Evaluation as a gate
Regression caught before release, not after.
Production, run by your team
CI/CD, monitoring and engineers who own it.`
Use cases
Agile Transformation – International Financial Institution
Agile transformation case study of a global…
DevOps Implementation – Large UK-Based Bank
DevOps transformation case study of a leading…
Upskilling Product Engineers – Global Tech…
Client Profile:A multinational technology consulting firm with…
Who is in the room
The people who lead the consulting and teach the programs.
Arun Tiwari
Senior consultant and trainer, co-founder.
B.Tech, IIT (BHU) Varanasi. 24 years in product engineering for startups and enterprises.
Rahul Singh
Senior consultant and trainer.
B.Tech, IIT (BHU) Varanasi. 20 years in cloud, microservices and event-driven architecture.
Abinash Kumar Mishra
Founder and CTO.
Master's in Computer Science, PEC / Panjab University. 20 years building production AI and ML systems.
Trending topics
Three recent articles from the team.
From Data Silos to Business Agility: How…
Unlock competitive advantage in financial services with data agility—boost speed, compliance, and customer experience across…
Why 70% of Digital Transformation Projects Fail:…
Discover why 70% of digital transformation projects fail and learn 5 proven success factors for…
The Hidden Costs of Cloud Migration: 7…
Discover 7 hidden pitfalls of cloud migration for financial services. Learn strategies to avoid risks,…
Ready to learn more?
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