Observations
The 1990s taught us that outsourcing at scale is a predatory business model. The mega-outsourcers didn’t innovate for clients; they colonised them. They bought your data centres. They rebadged your people. They locked you into their proprietary stack. And when you tried to leave, the transition-out fees and proprietary dependencies made the cost of exit a fiscal impossibility.
We thought that era was over. We were wrong. The occupying army has just evolved into a special forces strike team. The new model is called forward deployed engineering (FDE). It represents systematic centralisation of intellectual capital, i. e., a structural process of knowledge extraction that often occurs as an unintended consequence of partnership. Unlike 1990s-style physical asset-stripping, this model harvests your operational secrets and domain expertise to harden the vendor’s own global product modules.
The First Dirty Secret: You Pay to Fund Their Product
1990s Version: Mega-outsourcers demanded upfront mobilisation fees and transition fees to move your estate into their business. You paid them to invade.
FDE Version: You fund their R&D through design partnerships, discovery phases, and embedded squads, all priced as implementation work. You pay them to experiment at your cost while they harvest your operational secrets.
When a vendor sells you a forward-deployed squad, it frequently functions as more than just an implementation team; it acts as a roaming product lab. Publicly available job descriptions2 suggest that FDE’s serve as the technical bridge between your front-line reality and their central product teams, frequently utilised to transform your unique edge cases into standardised modules. You are not just a customer, you are a training ground.
The Second Dirty Secret: You Pay to Standardise Your Own Dependency
1990s Version: Outsourcers demanded transformation fees to convert your unique systems into their standardised delivery model. Your messy reality became their clean template.
FDE Version: You bankroll your own domestication. Every workshop where you ‘map your business processes’ is one where they encode your operating model into their platform and then own the encoding.
This process creates a state of ontological lock-in: a strategic paralysis where a customer owns their raw data but cannot exit the vendor relationship because the model of how their business entities relate is proprietary to the vendor. To navigate this, we must distinguish between three layers of ownership:
- Raw Data (Client IP): The primary records and atomic observations generated by your operations.
- The Enriched Layer (Operational IP/Contested IP): The nervous system of the operation, i. e., the metadata, relationship mappings, and weighted logic.
- The Logic (Commercial/Proprietary IP): The vendor’s underlying code and specific platform encoding.
When the NYPD tried to exit its Palantir contract, the department discovered that while the raw records were nominally its data, the analysis, i. e., the enriched layer that investigators actually used, was treated as Palantir’s IP3. The message was clear: “You can have your facts back, but the model of reality you’ve been relying on stays with us”. In Norway, police spent around EUR 9 million trying to build a Palantir-powered superweapon platform that was ultimately abandoned, with nothing operational to show for it4. The sunk capital stayed on the state’s books; the implementation lessons and domain insight flowed back to the vendor.
The Third Dirty Secret: Exit is Economic Suicide
1990s Version: Mega-outsourcers locked clients in through data centre ownership, punitive termination fees, and the threat that leaving would strand all your staff and systems.
FDE Version: The mechanism of control has shifted from physical infrastructure to cognitive architecture. They do not need to own your data centre to exert dominance; they own the logic layer, the digital nervous system of your organisation. Consequently, termination is no longer a logistical hurdle but a functional amputation.
This distinction between your data and our insights remains. The same Gotham and Foundry platforms that fought the NYPD over exportable analysis now sit at the heart of UK defence and health infrastructure, under contracts worth hundreds of millions of pounds. Governments proudly assert that they own their data, while the vendor quietly reserves the right to own, shape and retain the logic that turns that data into decisions. In policing and immigration, Palantir’s platforms let investigators collapse weeks of manual cross-referencing into hours. Once your critical operations run at that tempo, telling a minister or a board you’re going to switch the platform off, and accept slower, less certain decisions for a few years while you rebuild, is tantamount to career suicide. This highlights the core paradox of FDE: the more immediate the operational gain, the more profound the long-term strategic paralysis.
Platform colonialism thrives on three deliberate asymmetries:
- Information Asymmetry: Vendors know exactly how your logic gets encoded into their product. You don’t.
- Power Asymmetry: Vendors write the first draft of every contract. You react.
- Time Asymmetry: Vendors think in decades. You think in budget cycles.
The FDE strike team doesn’t need to own your data centre to own you. They just need to own the layer that turns your data into decisions, and to make sure you can’t rebuild it without them. This is not accidental. This alignment of incentives constitutes the underlying business model.
This economic lock-in is not merely theoretical. As seen in the Norwegian policing context, the EUR 9 million expenditure resulted in a total loss of sunk capital upon abandonment, as the domain insights gathered during the project remained trapped within the vendor’s proprietary development cycle.
The Path Forward: From Awareness to Autonomy
Recognising the mechanics of platform colonialism is only the initial step toward reclaiming your organisation’s strategic autonomy. This manifesto serves as the opening chapter in a three-part series designed to transform how you engage with the FDE model.
Coming Next in the Series:
- Part 2: Diagnostic – Scoring Your Vendor Exposure Risk
Knowledge extraction is often an unintended consequence of partnership, yet the level of risk varies significantly between vendors. We provide a framework to assess your current arrangements, helping you identify which platforms may have captured your cognitive architecture and where your ontological lock-in is potentially severe. - Part 3: Strategic Value Realisation – FDE Contracting Playbook: Essential Buyer Clauses
The power asymmetry in these deals begins with the first draft of the contract. We move from theory to execution, providing the specific IP carve-outs, export protocols, and sovereign logic clauses required to shift from vendor dependence to a balanced platform portfolio.
Stop subsidising the productisation of your own expertise; start negotiating like you own your future.
Next Steps
You cannot unwind a decade of platform colonialism in a single negotiation cycle, but you can start changing the game in your favour in three deliberate moves:
1. Immediate (30 to 90 Days)
In the next quarter, your goal is not to fix everything, rather it is to see clearly and stop the bleeding.
- Run a colonisation audit on your top 3 to 5 strategic platforms:
- Identify where FDE-style teams are embedded, what they are actually doing week-to-week, and how their outputs are being treated (implementation only, or feeding the vendor’s product roadmap).
- Ask a brutal question for each: “If this vendor disappeared tomorrow, what decision flows would break, and what logic could we not reconstruct?”
- Put a moratorium on unpriced design partnership language:
- Freeze any new statements-of-work (SOWs) or renewals that contain vague commitments around lighthouse, co-creation, innovation partner, or design partner without explicit commercial and IP terms.
- Require every new engagement that smells like R&D to be explicitly priced as such, with clear boundaries around what the vendor can reuse and on what terms.
- Demand visibility on data, models, and exit:
- For each FDE-style vendor, ask for a written explanation (in plain English) of:
- What they consider their IP versus your IP.
- How would you export your enriched data and logic if you chose to leave in 12 to 24 months?
- Require a granular distinction between commercial IP (the vendor’s underlying software code) and operational IP (your unique business logic, decision trees, and process mappings encoded within the tool).
- You are not renegotiating yet; you are forcing them to put the current power dynamic on paper.
- For each FDE-style vendor, ask for a written explanation (in plain English) of:
- Align CIO, CPO, and general counsel on the threat model:
- Convene a single working session where you explicitly frame FDE engagements as high-control, high-lock-in models, not generic Software-as-a-Service (SaaS).
- Agree that any future deal of this type will be treated as strategically as a major M&A transaction, not as another software contract.
2. Preparing For Tomorrow (the First 12 Months)
Over the next year, your objective is to rebalance control: shift ownership of your logic, increase your contractual leverage, and build credible alternatives.
- Rewrite your default playbook for platform deals:
- Introduce standard positions on:
- Feedback and suggestion clauses (no free, unlimited licences; move to narrow residuals language).
- Configuration and ontology ownership (your business model, mappings, and decision logic are client IP, licensed back to the vendor only as needed).
- Exit assistance (detailed export formats, timelines, and capped fees written into every strategic contract).
- Make these the starting point for every FDE-style negotiation, not the aspirational end state.
- Introduce standard positions on:
- Re-paper your most critical FDE relationships at renewal:
- Prioritise 1 to 2 platforms where dependence is highest and renewal dates are approaching.
- Use renewals to trade contract term and price for structural protections: stronger IP carve-outs, richer data/logic portability, and clear exit obligations.
- Aim to move at least one flagship relationship from ‘they own the nervous system’ to ‘jointly controlled, with a credible exit path’.
- Build a sovereign logic capability inside your organisation:
- Establish a small internal team (architecture, data, legal/commercial) whose mandate is to:
- Maintain a vendor-neutral model of your core entities, metrics, and decision flows.
- Document and own the canonical version of your logic in vendor-neutral formats, e. g., business process model and notation (BPMN) for processes, SQL-based schema definitions, or Open-source knowledge graph formats (RDF/OWL). This ensures that your model of reality exists as a portable asset, mitigating the capability gap that forces reliance on FDE squads for basic operational understanding.
- Over time, this becomes the anchor that lets you orchestrate multiple platforms, swap components, and resist ontology-based lock-in.
- Establish a small internal team (architecture, data, legal/commercial) whose mandate is to:
- Incorporate the ability to move key workloads or replicate critical analytics outside the incumbent’s stack into business continuity plans and disaster recovery policies.
- Develop at least one credible exit or dual-vendor option:
- For each critical FDE-style platform, identify and quietly cultivate at least one alternative, even if it’s only good enough rather than perfect.
- Run targeted pilots or proof-of-concepts that validate your ability to move key workloads or replicate critical analytics outside the incumbent’s stack.
3. Towards the Horizon (Protecting Your Future)
Beyond the first year, your task is to design for optionality: ensure that every new wave of AI-native platforms enhances your strategic position rather than eroding it.
- Treat logic and ontology as strategic assets:
- Explicitly classify your data models, business ontologies, and decision playbooks as core intellectual property in your enterprise risk and asset registers.
- Require that any proposal touching these assets is reviewed for long-term control and portability, not just short-term return on investment (ROI).
- Move from platform dependence to platform portfolio:
- Architect your landscape so that no single vendor holds all three levers at once: data, logic, and execution.
- Favour patterns where:
- Data is stored in your controlled environments or open formats.
- Logic is expressed in portable, vendor-agnostic ways where possible.
- Execution (agents, workflows, UX) can be swapped without rewriting your entire worldview.
- Build exit rehearsals into governance:
- For your most critical platforms, run periodic tabletop exercises: assume the vendor fails, or the relationship becomes untenable, and walk through how you would continue operating.
- Use these rehearsals to stress-test whether your contracts, documentation, and internal capabilities are enough to avoid being paralysed.
- Use your market power as leverage – visibly:
- As you harden your stance, make it clear to vendors that there is reputational upside in playing fair:
- Preference suppliers who accept strong data/logic ownership terms and clean exit plans.
- Be prepared to walk away publicly from deals that demand excessive control.
- Over time, this is how buyers shift norms: not by complaining about predatory models, but by rewarding those who don’t use them.
- As you harden your stance, make it clear to vendors that there is reputational upside in playing fair:
Footnotes
- Forward Deployed Engineering (FDE): A predatory integration model where vendor-embedded engineers extract a client’s domain expertise and edge cases under the guise of co-creation to harden the vendor’s global product. Unlike traditional outsourcing, which targets physical assets, FDE targets cognitive architecture, resulting in ontological lock-in where the client owns their data but the vendor owns the logic required to make it actionable.
- ‘Forward Deployed Engineer (FDE) Partner Solutions Lead’, Accenture, 2026. Quote: “Serve as the technical bridge between product, engineering, data, and business stakeholders, ensuring solutions are technically sound, usable, and aligned with business value.”
- ‘Palantir Contract Dispute Exposes NYPD’s Lack of Transparency’, Brennan Center for Justice, 2017. Quote: “Palantir has declined to hand over a readable version of the data to the NYPD, claiming that doing so would threaten its intellectual property.”
- ‘Resistance to platformization: Palantir in the Norwegian police’, Information, Communication, & Society, 2024. Quote: “The police’s ‘superweapon’ was a EUR 9 million failure… When the contract was signed off, around EUR 9 million had been spent with nothing to show for it.”


