Diversity, Equity and Inclusion Consulting
Designed into the system, not announced from the podium
The pattern
Most inclusion work sits in one of two places. The first is awareness: a calendar of events, a statement of intent. It does what awareness is designed to do, and was never scoped to change who gets hired, developed or heard. The second is a framework built for a different structure.
Representation at entry level looks reasonable, sometimes better than your sector. It thins at first-line management, thins again at the layer below the executive committee, and at the top it has not moved. Meanwhile the programme is renewed annually and the shape of the pyramid holds.
- 01Healthy diversity at intake that does not survive the first promotion gate.
- 02Exit interviews from under-represented groups that cite fairness of progression, ahead of pay or role.
- 03Sponsorship concentrated in a handful of senior leaders who each back people who resemble them.
- 04A screening tool the vendor says is bias-tested, with no statement of what it weights for the hiring chain to check.
Why it persists
Awareness events and a borrowed framework both work on what people know. Representation is set by decisions taken elsewhere. Who gets hired depends on how the job description is written and who sits on the interview panel. Who gets promoted depends on whether readiness is judged against a defined standard or against proximity to the people judging.
Each of those is a designed process with a named owner. Each is also a moment where judgement is exercised under time pressure, when pattern-matching substitutes for assessment. Awareness training works on the person making the judgement. Changing what the moment demands as evidence works on the judgement itself, and holds when the person changes.
Artificial Intelligence (AI) in hiring is a decision point of the same kind, differing in one respect. An automated screen sits inside the applicant tracking system, and its weighting is usually documented nowhere in the hiring chain. It was procured rather than designed. Its assurance is a vendor claim written for a procurement form, so algorithmic bias becomes a question with no owner. Three questions, as for the others: who owns it, what does it weight, and can an outcome be explained to the candidate it affected, in language that candidate would accept. In hybrid and remote organisations, proximity bias works the same way: who is visible has changed.
Progression runs through a forum you already hold, on a cadence you already control. Accountability inside it is usually personal rather than structural: a sponsor's conviction, an HR leader's persistence, a champion network's energy. When the sponsor moves, nobody is obliged to keep the item on the agenda, and the calibration forum runs as it ran before.
Bias enters at designed decision points, each with a named owner and a documented process. A process can be rewritten and audited in a way that a belief cannot, and it holds when the owner changes.
What the work examines
POLIP starts from the identities people actually carry into work. In multi-site Indian businesses, language and region often shape access to senior forums more than any category a global template would flag.
Three years of hiring, promotion, pay and exit data are analysed by cohort: where the funnel narrows, at which gate, for whom. That produces a map of decision points with the evidence attached, and which gates carry enough weight to redesign. Where the analysis shows no pattern at a gate, that is itself the finding.
A panel member, a calibrating manager and a sponsor are asked the same things in the same order, which makes their answers comparable and the finding defensible when it is challenged. Where a pattern traces back to a named sponsor, it is reported to that sponsor's own forum rather than routed around them. Which gates come into scope is agreed with you in scoping.
Where this shows up in the business
- Day to dayDecisions acquire a recordWithin weeks a hiring manager notices that panels are composed rather than assembled, and that a calibration claim without evidence gets asked for evidence.
- Over a yearThe numbers your leadership team already tracksThe promotion ratio at your own first gate, internal fill rate for senior roles, regrettable attrition in the populations you are trying to retain. A board can ask about these without a separate reporting pack.
- Over several yearsA pipeline that stops narrowing at the same gateA funnel that loses the same cohorts at the same point every year is a capacity constraint on growth, priced quietly as a recruitment cost. Representation holds through a change of leadership because the mechanism holds rather than the sponsor.
POLIP publishes no client results and promises no figure in advance. When a board or a regulator asks what your organisation does about equity, a documented redesign of hiring, calibration and promotion is an answer with owners and a record.
Common questions
How is this different from the DEI work we have already run?
Awareness work, meaning training, networks, a statement of intent and a calendar, is built to change what people know, and it does that. Redesigning the hiring, calibration and promotion decisions themselves is separate design work.
POLIP works on the decisions. The deliverable is a redesigned job requirement, a composed panel, a calibration protocol and a promotion standard, each with a named owner and a record. If the work already in place has changed those decisions, the honest answer is that you do not need this, and POLIP will say so.
Which identities does POLIP work with in an Indian context?
The ones people actually carry into your workplace, a wider set than a global framework usually accounts for: gender, generation, tenure, socioeconomic and educational background, disability, language, and regional identity.
Scope is set from your own data and your own structure, in the scoping conversation, rather than from a standard list.
Do you set representation targets?
Targets without mechanism tend to produce either a hiring push that reverses or a quiet reclassification of existing headcount. POLIP examines the mechanism first, then discusses targets the redesigned process could plausibly carry, at each level rather than in aggregate.
What any target should be, and whether targets are the right instrument for your structure at all, is a scoping question. The test POLIP applies to its own work is whether representation holds at every level, including the two layers below your executive committee, and whether it survives a change of leadership.
Does AI in hiring reduce bias, or does it hide it?
Either, and the difference is whether anyone can account for the outcome. An automated screen is procured, so its weighting sits with the vendor, not an owner in the hiring chain, which is how algorithmic bias becomes invisible rather than absent.
POLIP puts any automated screen or ranking into the same decision-point inventory as the job description, the panel and the calibration forum. POLIP does not audit AI models and does not advise on legal obligations; the work stays on who owns it, what it weights, and whether an outcome can be explained.
Start where the decisions are made
Bring three years of hiring, promotion and exit data, and the standards your organisation has set for those decisions. Reading one against the other is usually the whole brief.