Palantir in Defence Procurement and Cost Optimisation

Defence procurement reform has been attempted repeatedly in the UK and elsewhere, and the diagnosis is always roughly correct: programmes take too long, cost more than forecast, and deliver capability that has been overtaken by events. The treatments vary and the outcomes have been modest, which suggests the problem is structural rather than procedural.

Data platforms are sometimes offered as part of the answer. They can genuinely help with a narrow part of it, and it is worth being precise about which part, because overclaiming here has a long and embarrassing history.

Nobody knows what anything costs

The most useful and least discussed application is cost transparency. Across a large defence organisation, the true cost of operating a capability is distributed across equipment programmes, support contracts, personnel, training, infrastructure and inventory, each recorded in different systems against different cost structures.

Asking what a flying hour or a vessel day actually costs, fully attributed, is frequently answerable only to within a wide margin. Building that view against a shared model is unglamorous and directly useful, because it changes which trade-offs are visible at the point a decision is made rather than afterwards.

It is also politically uncomfortable, which is the main reason it does not happen. Accurate attribution reveals that some capabilities cost considerably more than their budget line suggests, and the organisations holding those capabilities rarely welcome the clarity.

Demand forecasting and the incentive problem

Better forecasting of spares and consumption has real value, and the analytics are not difficult where the consumption history exists. The obstacle is that forecasts interact with contracts. If a support contract prices on predicted volumes, a more accurate forecast may be commercially unattractive to one party, and the resulting negotiation takes longer than the modelling did.

Anyone starting this work should map the contractual consequences of being right before building the model. It is a short exercise and it prevents the common outcome where an accurate forecast sits unused because acting on it would breach or disadvantage an existing agreement.

Supplier and market intelligence

Large defence organisations routinely contract with the same supplier through multiple routes without visibility of the aggregate relationship, which weakens their negotiating position and obscures concentration risk. Resolving supplier identity across frameworks, subsidiaries and trading names is ordinary entity resolution work with an immediate commercial return.

The same model supports the resilience question that every ministry now asks: where are we dependent on a single supplier, and where does that supplier sit in a jurisdiction we would prefer not to rely on. The honest answer usually includes substantial gaps below tier one, and the gaps are the finding rather than a failure of the exercise.

The SME access problem

Every defence ministry states an ambition to buy more from smaller suppliers, and the barrier is not willingness. It is that the cost of bidding, the security requirements, the accreditation burden and the payment terms are all calibrated for organisations with a bid team and a balance sheet. A platform does not change any of that.

What does help is structural: smaller, faster contracts with clearer requirements, frameworks that do not require a year of qualification, and a route for a supplier to demonstrate capability by delivering something small. We have written separately about delivering as a defence SME, and the pattern that works is narrow scope, named customer problem, short feedback loop.

What platforms cannot do

They do not shorten approvals, resolve competing requirements between commands, or create the political willingness to cancel a failing programme. Those are the dominant causes of procurement delay and they are institutional. A platform that produces excellent management information for an organisation that cannot act on it has improved reporting rather than performance.

That is not an argument against doing the work. It is an argument for being specific about the claim, because overclaiming is how the last several waves of defence data programmes lost credibility.

AIC delivers in this space as an SME, and our PAL.NET SDK gives .NET teams a supported route into Foundry and their own ontology.