You know migration is inevitable. What you don't know is what moving the wrong workload first will cost you. Your estate has shadow IT nobody documented, batch jobs nobody owns, and licences still running on retired hardware. Flentas Infrastructure Assessment gives you a forensic picture of what you have, what it costs, and exactly what the risk of staying on legacy looks like — before you commit a single rupee to migration.
You know migration is inevitable. What you don't know is what moving the wrong workload first will cost.
Manual inventories miss up to two thirds of the dependencies that decide whether a cutover succeeds.
Servers, SaaS and databases were stood up outside the plan and appear only when something breaks.
Leadership sees the migration price but not what another year on aging hardware really costs.
Over-provisioned instances and unused licenses inflate both today's bill and tomorrow's migration scope.
Data residency and audit requirements appear after workloads are in flight, not before.
Assessments drag on so long that hardware end-of-life arrives before the board approves the plan.
Shadow IT, orphaned workloads, and undocumented integrations are invisible until they cause a production outage. Assessment surfaces every dependency before any workload moves.
Most teams underestimate on-premise costs by 40–60%. Assessment quantifies every hidden expense — overprovisioned servers, shelfware licences, engineering toil — and builds the TCO case your CFO needs.
Legacy infrastructure carries compliance debt you can't see on a CMDB spreadsheet. Assessment scans your estate against PCI DSS, HIPAA, GDPR, and RBI frameworks — flagging every gap before your auditors find it.
Traditional assessments spend months in workshops and spreadsheets. AI discovery agents complete your full estate inventory in days — delivering a prioritised, risk-scored migration roadmap before your next board cycle.
Your CMDB is out of date the moment it's written. AI discovery agents scan your full on-premise and hybrid estate automatically — surfacing shadow IT, forgotten batch jobs, and undocumented integrations in days. Every workload. Every dependency. No gaps.
Not every application carries the same migration risk. ML models trained on thousands of real migrations classify each workload by complexity, compliance sensitivity, and dependency depth — so you know which applications need refactoring before they move.
Gut feel about on-premise costs is always wrong. AWS Migration Evaluator TCO modelling builds a line-by-line cost comparison — compute, storage, licences, engineering toil, compliance overhead — giving your CFO the numbers to release the budget.
One-size migration strategies break production. AI 6R classification assigns the right strategy — Rehost, Replatform, Refactor, Retire — to every workload based on usage data, not opinions.
Moving workloads in the wrong order causes cascade failures. Graph-based dependency analysis sequences your portfolio into safe, logically ordered migration waves — with cutover windows sized to your change control and regulatory blackout requirements.
Every finding is packaged into a migration business case — cost savings, risk reduction, timeline, and AWS LIFT credit eligibility — so your leadership can approve in the same meeting you present.
Fintech
47 Undocumented Integrations Surfaced in 12 Days
Legacy core banking infrastructure blocking velocity and creating audit exposure — AI assessment surfaces every compliance gap and delivers a risk-sequenced roadmap before the next RBI review window.
NBFC
400+ Applications Mapped in 3 Weeks
Co-location contract expiring in six months with no migration plan — a 14-day assessment delivers a board-approved roadmap and AWS LIFT credit application before lease negotiations close.
Engineering team spending 30% of sprints on legacy toil — assessment quantifies the capacity cost and builds the business case to migrate and reclaim 2 engineers for product work.
Fintech
14 days Discovery + TCO vs. 3-Month Quotes
400+ applications across three data centres with no single source of truth — AI discovery consolidates the full estate into a dependency-mapped, cost-modelled portfolio ready for executive sign-off.
“We'd been told migration would take 12 months and $200K just to scope. Flentas came back in two weeks with 400 applications mapped, 23 compliance gaps flagged, and a TCO model showing we were paying 58% more on-premise than we needed to. That report went straight to the board. Migration was approved on the spot. We hadn't had a budget conversation that clean in three years.”
CTOLeading NBFC, India
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Know exactly what you run before you decide what to move.
Move the right workloads, predictably and without downtime.
Explore Migration FactoryAround-the-clock operations that keep the estate stable while the plan matures.
Explore Agentic Cloud OperationsA 14-day assessment delivers your full estate inventory, compliance gap analysis, TCO model, and a board-ready migration business case — including AWS LIFT credit eligibility.