Cloud and SaaS adoption
Helped global enterprise customers reduce cloud transition costs by about 50% through championing and accelerating SaaS adoption strategies.
The pre-transformation intelligence platform
Diagnose before you buy.Priorities before platforms.
Disruption rarely breaks an organisation all at once. It finds the vulnerability already sitting in the operating model and turns it into operational failure. MBT finds that vulnerability first: it measures each signal against how the business actually runs, isolates the root inside the operating model, and charts an evidence-grounded direction for both your business and technology transformation roadmaps — priorities your board can defend, before capital is committed.
The path MBT follows
- Signals
- Patterns
- Implications
- Priorities
- Decisions
The scientific lineage
Seventy years of published decision and systems science — not a generic answer engine. Select a name to see the rule it sets inside MBT.
Theorist names, theory titles and seminal works are cited for scholarly attribution and methodological lineage only, as permitted for nominative academic reference. The named authors, their estates and their affiliated institutions do not sponsor, certify, endorse or have any affiliation with MBT. All descriptions, wording and software are original works of MBT and are not authorised derivatives of the cited publications. To query any attribution, contact contact@hrmbt.com. Read the full attribution terms.
Diagnose the operating model before transforming.
- Workforce
- Business Dynamics
- Technology Pressure
- Market & Industry
- Regulation & Compliance
- Organizational Realities
Why pre-transformation intelligence
The costliest HR decisions are made before anyone buys anything.MBT is the intelligence layer for that phase.
Before a business case is written, the evidence that should shape it sits scattered across owners, formats and systems — and the real causes are rarely the ones in the complaint.
- Geopolitics
- Economy
- Labour regulation
- Industry
- Technology & AI
- Local events
- Company-specific signals
- Your own secure workspace documents and private enterprise files
What MBT does with them
You choose which signals to scan. MBT then helps you group them, work through what they could mean for your organisation, and turn the ones you confirm into a prioritised transformation view.
- Signals
- Patterns
- Implications
- Priorities
- Decisions
The pre-transformation deficit
Software gets chosen before the cause is understood.
- Workforce data
- HR systems
- Market research
- Business strategy
- Technology roadmaps
- Regulatory changes
- Industry signals
- Consulting reports
- Too many signals.
- Too many possible initiatives.
- Too much uncertainty.
What needs to change across the business — and how does technology enable it?
That is the question MBT answers before a platform is chosen — with evidence attached, scoped to your organisation, industry and geography, and with clear direction for both your business operating model and technology enablement roadmaps.
How MBT works
Eight steps from organisational context to a decision leadership can take.
Each step goes deeper than the complaint in front of you: what people experience day to day is traced back to what is really causing it, and forward to what it costs the business — so nothing is treated as a cause until it holds up against evidence. You stay in control at each step — MBT proposes, you confirm.
Every finding sits on one seven-level ladder
- Root cause
- Problem
- Challenge
- Complexity
- Scenario
- Symptom
- Business impact
- 01
Scope
You set the organisation, industry classification, geographies and the situation in view.
- 02
Industry & geography findings
A sourced baseline of what is shaping your industry and the places your workforce sits.
- 03
Current affairs radar
You choose which current-affairs categories to scan, then keep only the sourced items you consider relevant.
- 04
Consolidated hierarchy
Findings are placed on one cause-to-impact ladder, so symptoms are never mistaken for causes.
- 05
Discover & relate
Plain-language questions — including ones designed to disprove — let you confirm or reject what applies to you.
- 06
Ops & capability clustering
Confirmed problems are grouped by the root cause they share, each with its own journey map.
- 07
Solution & priority
Transformation acts are mapped across business operations and technology enablement, scored against impact and effort, and sequenced into an actionable roadmap.
- 08
Export & share
An executive summary, presentation and requirements workbook, built only from what you confirmed.
What you get
From intelligence to action
Four deliverables come out of a single run — a full research dossier to defend the decision, a board presentation to make it, journey maps that trace each problem to its cause, and a workbook to hand to a vendor. Each is built only from what you confirmed, carries the run reference and review dates, and lists the sources behind every claim.
Executive Research & Diagnostic Dossier
Can we defend this decision line by line?
A structured PDF with a clickable contents page: the bottom line up front, a chapter per confirmed problem with its causal chain, journey map, cost of inaction and solution, the priorities with reasons, every source cited, a verification seal showing which claims were checked against primary records, and — when the Workforce Sustainability lens is switched on — a Workforce Sustainability & Governance briefing.
In the workspace: the export stage — downloads as a PDF after sign-off
Explore an exampleExecutive presentation
What has changed, what is the problem, and what should we do?
One PowerPoint file covering the confirmed problems, what they cost, the business, HR and digital changes that address them, and the priorities — with sources behind each claim.
In the workspace: the export stage — downloads as a PowerPoint file
Explore an exampleCausal journey maps
How does each problem connect to what causes it?
A map for every confirmed problem, showing its root cause, the questions that confirmed it, and whether HR can fix it alone — ready to drop into your own documents.
In the workspace: Ops & capability clustering — downloads as SVG or PNG
Explore an exampleTransformation Roadmap & Requirements
How do business changes and technology capabilities sequence over time?
An Excel workbook turning every target outcome into phased business transformation acts and line-by-line functional requirements, with a separate sheet of agentic AI scenarios and, when the Workforce Sustainability lens is on, a Workforce Sustainability & Governance sheet — capabilities described, never brand names.
In the workspace: the export stage — downloads as an Excel workbook
Explore an exampleZero IT integration
Nothing to connect to your core HR systems.
No production system access and no connectors to configure. MBT adds no attack surface to your HR technology stack — you choose what, if anything, to upload.
Time to value
A board-ready diagnosis in hours, not months.
Go from organisational scope to a signed-off research dossier in a working session, instead of a discovery phase that typically runs for weeks.
Workforce Sustainability & Governance lens
Check the people side of a transformation before it reaches the board.
An optional workforce sustainability lens reviews each agentic AI scenario for workforce transition load and human-in-the-loop guardrails, and points to the reference frameworks that fit your scope — such as SEBI BRSR Core Principles 3 & 5 and the Indian Labour Codes, CSRD ESRS S1 and the EU AI Act, or GRI 401–405 and ILO standards. Every line is labelled a hypothesis to test. It covers people and decision governance only. It does not measure environmental impact, carbon or emissions, run employee surveys or green-skills training, or calculate sustainability ratings — MBT diagnoses causes before transformation, it is not a reporting or HR operations tool. It is pre-audit support, never a formal disclosure.
- Frameworks matched to your geography
- Human-in-the-loop guardrails
- Briefing in the dossier and workbook
Why MBT
Unconflicted, causal, evidence-led.
MBT sells no software and bills no implementation, so it gives unbiased direction for both your business operating model and technology transformation roadmap. It exists for one job: deciding what to change, and in what order, before the money is committed.
- 01
Contextual
Not generic HR trends.
Intelligence scoped to your organisation, industry and the geographies your workforce actually sits in.
- 02
Evidence-backed
MBT does not treat AI output as evidence.
MBT is designed around a proprietary research method; AI supports defined research tasks, not unchecked conclusions. Evidence comes from identified sources, and AI-generated analysis is labelled as interpretation, never as fact — findings carry their sources and an evidence-strength label, and say plainly where evidence is thin, contested or missing.
- 03
Vendor-neutral
Priorities before platforms.
Transformation priorities are established first, on the evidence. Technology and vendor choices are then assessed against those priorities — never the other way round, and never against a shortlist MBT has an interest in.
- 04
Decision-oriented
Not another research library.
Every output is designed to move a specific decision forward, in a format leadership can act on — with the reasoning, the sources and the open questions attached.
- 05
Hybrid Research Orchestration
Public evidence and your own files, together.
Simultaneously combines public web data with your own private, uploaded documents (PDFs, reports, benchmarks) with an automated AI Relevancy Guardrail to prevent noise — and your documents are cited by file name wherever they shape a conclusion.
The architectural difference
Why MBT instead of generic AI?
General AI tools guess what sounds convincing; MBT proves what is actually happening. Instead of one chatbot searching, guessing and writing all at once, MBT follows a strict research discipline: verifying facts against official records, tracing every claim to its true origin, rating technology honestly, and warning when HR-led change alone will fail.
Generic AI
MBT
How the analysis is performed
Generic AIA single chatbot tries to search, fact-check, analyse and write all in one pass — acting as its own investigator and judge, which creates blind spots and unverified guesswork.
MBTA diversity of specialised engines provides built-in checks and balances: one engine finds sources, another independently verifies their origins, and a dedicated diagnostic engine evaluates the facts without ever grading its own work.
Fact-checking & verification
Generic AIAnswers from general memory and accepts whatever blog posts or articles it finds online.
MBTCross-checks findings against official government filings, peer-reviewed academic research and labour-market data before accepting them.
Handling unverified or risky claims
Generic AISpeaks with the same confidence whether a number comes from an audited census or an unverified press release.
MBTAutomatically digs deeper whenever high-stakes figures, single-source claims or contradictory data appear.
Depth of diagnosis
Generic AIProduces an unstructured list of generic "HR challenges" without showing which are symptoms and which are root causes.
MBTMaps every issue through a strict seven-level chain — tracing frontline symptoms down to operating-model root causes and up to board-level business impact.
Guarding against made-up answers
Generic AIBrowses the open web, fills gaps with plausible-sounding text, and can give a different answer each time you ask.
MBTScreens evidence through a six-stage verification process and reasons only on verified facts, so the same scope gives the same repeatable result.
Source proof & transparency
Generic AIGives advice without showing where the proof came from or whether a claim is a fact or an educated guess.
MBTTags every insight as Fact, Evidence, Inference or Hypothesis, linked to its original published source.
Organisational context
Generic AIOne-size-fits-all advice, blind to your operating constraints and HR maturity.
MBTMeets your organisation where it actually operates today. Every insight is shaped by the HR stage you declare — Transactional / compliance, Service delivery, Solution-centric, Data-driven / predictive, or Systemic / strategic HR — so insights stay realistic for your people, your constraints and the next step in your transition.
Technology honesty
Generic AIAssumes software can fix every issue, prescribing tools even when the problem is human, cultural or structural.
MBTRates technology's contribution honestly — often Low or None — and describes capabilities only, never vendor brand names.
When HR-led change alone will fail
Generic AITreats every workforce problem as HR's job, recommending programmes, training or policy tweaks.
MBTWarns explicitly when the root cause sits outside HR's reach — business model, funding, governance or leadership mandate — and names wider enterprise sponsorship as a prerequisite.
User effort & prompt fatigue
Generic AIPuts the burden on the user to craft intricate prompts, test hundreds of phrasing variations, and manually correct superficial or made-up answers.
MBTZero prompt engineering or maintenance. As frontier models evolve, MBT's underlying research protocols and verification pipelines are centrally updated, ensuring you always get state-of-the-art diagnostic depth without ever writing or adapting a prompt.
Built to keep pace
As multiple frontier AI models advance and your enterprise scales, MBT evolves under the hood.
Zero model maintenance.Zero prompt fatigue.Always grounded in your reality.
Who it is for
Built for leaders making transformation decisions
Everyone works in the same workspace — there are no separate role-based views. Whoever has to defend the decision afterwards gets the reasoning, the sources and the evidence-strength labels with it.
- CHROUnderstand what matters most and make strategic transformation decisions with greater confidence.
- HR Transformation LeaderIdentify, prioritise and sequence transformation opportunities.
- COO / Transformation LeaderConnect workforce and HR transformation to broader business priorities.
- CIOUnderstand HR technology and transformation implications before major technology decisions.
When leaders use MBT
The business moments where the cause has to be known first.
Each scenario is researched as a possibility to confirm or reject in your organisation — never assumed to apply to you.
Growth & footprint
- Rapid headcount growthTest whether hiring pace is outrunning the processes, managers and systems meant to absorb it.Read the scenario
- Multi-country expansionSurface statutory, payroll and talent conditions in each new market before the entity opens.Read the scenario
- Manufacturing & blue-collar scale-upCheck whether shift, safety and frontline workforce practices can carry a larger operation.Read the scenario
- New plant or site launchExamine whether workforce readiness, local hiring and compliance are in place for go-live.Read the scenario
Deals, risk & continuity
- Merger or acquisition integrationIsolate policy, payroll and operating-model conflicts between combining entities before Day 1.Read the scenario
- Compliance or audit failureTrace an audit finding back to whether the cause sits in process, data, systems or governance.Read the scenario
- Leadership or succession gapTest how exposed critical leadership roles are, and what is really limiting the pipeline.Read the scenario
- High attrition in critical rolesSeparate the symptoms of attrition from the operating conditions that may be driving it.Read the scenario
- Employee experience declineFind out whether falling sentiment points to processes, managers, tools or the wider model.Read the scenario
Operating model & modernisation
- Cost reduction pressureDistinguish cost that can be removed safely from cost that protects critical capability.Read the scenario
- Shift to HR shared servicesCheck whether processes are standard and stable enough to centralise before the move.Read the scenario
- Digital & ERP-led modernisationEstablish what the operating model must change so a large system rollout does not automate today's problems.Read the scenario
- Before selecting HR technologyConfirm the requirements and priorities on evidence before a multi-year platform commitment.Read the scenario
- Troubled programme resetGive a stalled or over-budget programme an independent view of whether the cause is technology, governance or change load.Read the scenario
How enterprises engage
Three ways to bring MBT into a decision.
Every engagement starts with a private briefing. Access is approved for verified business email addresses, and nothing needs to be connected to your HR systems.
- 01
Pre-transformation diagnostic
Best for: a board paper, investment case or technology selection
A focused run on one decision. You set the scope, confirm or reject what the research finds, and leave with the dossier, board presentation, journey maps and requirements workbook.
Typical scenarios
- Before selecting HR technology
- Merger or acquisition integration
- Multi-country expansion
- 02
Programme reset
Best for: a transformation that is stalled, over budget or resisted
An independent, vendor-neutral view for the steering committee of where the programme is really breaking down — and whether HR-led change alone can fix it.
Typical scenarios
- Troubled programme reset
- Digital & ERP-led modernisation
- Shift to HR shared services
- 03
Enterprise workspace
Best for: transformation and HR strategy teams running repeated diagnostics
An ongoing, administrator-approved workspace for your team to run studies across business units and geographies, with your uploaded documents kept private to your organisation.
Typical scenarios
- Cost reduction pressure
- High attrition in critical roles
- Leadership or succession gap
Enterprise governance manual
Enterprise Onboarding, Regional Data Center, Tenant Provisioning and Access
NDA, services agreement and data protection addendum before access; hosting region choice agreed in contract; tenant-isolated researcher approval; and data handover and deletion when the engagement ends.
Read the manualInside the platform
See the intelligence behind the decision.
MBT is a controlled-access platform, not a self-serve tool. Accounts are approved for verified business email addresses by an administrator, so the working product and its methodology are shown in a private walkthrough rather than published in full here.
- 01
Scope
You set the organisation, industry classification, geographies and the situation in view.
- 02
Industry & geography findings
A sourced baseline of what is shaping your industry and the places your workforce sits.
- 03
Current affairs radar
You choose which current-affairs categories to scan, then keep only the sourced items you consider relevant.
- 04
Consolidated hierarchy
Findings are placed on one cause-to-impact ladder, so symptoms are never mistaken for causes.
- 05
Discover & relate
Plain-language questions — including ones designed to disprove — let you confirm or reject what applies to you.
- 06
Ops & capability clustering
Confirmed problems are grouped by the root cause they share, each with its own journey map.
- 07
Solution & priority
Transformation acts are mapped across business operations and technology enablement, scored against impact and effort, and sequenced into an actionable roadmap.
- 08
Export & share
An executive summary, presentation and requirements workbook, built only from what you confirmed.
Walk through the real product
A private briefing walks through the live workspace and a worked example end to end, using your own organisational context rather than a canned demo.
Trust
Enterprise intelligence requires enterprise trust.
What follows is a summary. The published notices are the authoritative statements — no certification is claimed unless it has been formally obtained.
Data ownership
Your data is yours. It never trains our models.
Nothing you enter, upload or generate is used to train AI models, and nothing is sold or shared for marketing. Your research stays inside your account, is visible only to you and your approved colleagues, and can be exported or deleted at any time.
For sensitive work you can switch on a zero-retention run: the research run itself is not written to your browser or our database, no result is cached, and the session ends when you close the tab — you keep only what you export. Files you have uploaded to your secure workspace are held separately and stay until you remove them.
Secure workspace uploads: your files are private to your organisation, separated at the database level from every other customer, checked for relevance before they are used, and never sent to the public research engines. They are kept so you can reuse them across runs, and deleting a file or purging the workspace permanently removes it along with everything derived from it.
Business-email access, isolated per organisation, encrypted in transit, deletion on request. Read how we handle data.
Data handling
Your inputs and research outputs are stored against your own approved account and are not readable by other accounts, enforced by database-level access rules.
Access control
Access is granted by an administrator to verified business email addresses; there is no public sign-up, and access can be withdrawn at any time.
Sign-in codes
Sign-in uses single-use codes, valid for a limited time, sent to the approved business mailbox.
AI and data usage
How AI is used in research and what is sent to model providers is described in the data and security notice.
Privacy, retention and deletion
Retention and deletion practices, and applicable data-protection commitments, are set out in the privacy notice.
Founder perspective
Structure the question. Test the evidence. Make the decision defensible.
Meet the founder
Satrajit Sengupta
Founder, MBT
Helping organisations modernise HR operations through integrated digital platforms that simplify work and strengthen decision-making.
Satrajit brings more than 25 years of experience across HR, enterprise technology and transformation. His work combines HR domain understanding with HCM technology consulting, executive advisory and complex, multi-country delivery — with a consistent focus on turning transformation intent into measurable operating outcomes.
- HCM transformation
- 25+ years in HCM Business Transformation and Technology consulting
- Customer delivery
- 20+ end-to-end customer transformation engagements
Selected achievements
KPI and CXO advisory
Partnered with customer executives to define KPI frameworks that connect enterprise transformation programmes to measurable business outcomes.
Delivery predictability
Improved post-implementation delivery predictability by about 25% across a global customer portfolio, strengthening confidence in timelines and reducing escalations.
HR technology leadership
Turned HR technology programmes into measurable outcomes through structured adoption, faster HR cycle times and stronger end-user adoption.
Experience and education
Previously worked at global firms including SAP, IBM, HCL and PwC. Currently working with VISCAP Consultancy Pvt. Ltd as a Vice President - Strategic HR Innovation and Customer Success, focusing on optimizing large-scale HR transformation delivery, modernizing workforce operations, and navigating SaaS & AI adoption curves. Post Graduated in Human Resource Management from XLRI Jamshedpur.
Geographies worked across
India, ANZ, Southeast Asia, EMEA, Canada and the Americas
Leadership approach
IT-enabled HR digital transformation, technology adoption, CXO advisory and business networking. Structure-and-metrics driven, with an emphasis on visible proof, practical frameworks and capability transfer.
Know the cause before you commit the capital.
Move from competing priorities and vendor pitches to evidence-grounded direction for both your business and technology transformation roadmaps — what must change in the operating model, and how technology accelerates it.
Administrator-approved access