[ Comparison · Datalvar vs the Big Four ]

Datalvar AI vs Big Four for AI projects

Honest comparison for enterprise decision-makers in Spain evaluating AI with Accenture, Deloitte, KPMG, PwC, EY or Capgemini. Real advantages, when to pick each and what to expect for the same budget.

3 months
to production · Big Four: 9-18 months
3–8x
lower cost per implemented case
100 %
senior teams from day one
[ Direct comparison ]

Objective criteria. No tricks.

Each row is a real measurable criterion. We mark with ★ where each option wins. When the Big Four wins, we say so.

Criterion Datalvar AI the Big Four
Time to production (first pilot) 2-3 months 9-18 months
First pilot cost €15-80k €150-500k
Cost per production use case €20-60k €80-300k
Dedicated team 2-4 seniors · high dedication Mixed teams senior+junior · fragmented dedication
Project scope Acotated to concrete process with measurable ROI Full transformation with multiple workstreams
Required sponsor A director with decision capacity Committee + C-level sponsor + steering
Geographic focus Spain, Portugal, ES-speaking LATAM Global with local presence
Physical presence at client On demand or remote Usually on-site teams
Working methodology Weekly demo, code from week 1 Phases (discovery, design, build, test, rollout)
Documentation delivered Executable technical + operational Extensive (PowerPoint + technical + policy)
Enterprise references (>€1B rev.) Few, building Many, decades of history
Horizontal coverage (beyond AI) Only AI and automation Strategy, tech, risk, audit, legal, tax
Civil liability insurance Yes, for enterprise projects Yes, with broader coverage
Structured training for internal teams 4-12 sessions per project Formal training programs with certification
[ When to pick each ]

We are not for everyone.

We publish this list so you decide with criteria. If we don\'t fit, we save you and us time.

✓ PICK DATALVAR AI IF…
  • You need an AI process in production measurable in less than 6 months
  • You prioritise cost per implemented case over horizontal coverage
  • You have a sponsor with decision capacity (no committee-of-committees needed)
  • You prefer fixed senior teams over rotating mixed teams
  • You want agile operations (weekly demo, code from W1) over long phases
  • The project is specific to AI/automation and doesn't require enterprise-wide scope
  • You're SME/mid-market (50-500 employees) or large company with acotated initiative
✓ PICK THE BIG FOUR IF…
  • The initiative is a full transformation crossing AI, organisational change, tax, legal and risk
  • You need global reference recognised by the board (banking, insurance, public sector)
  • The project exceeds €500k and requires horizontal coverage
  • You require continuous on-site presence with large teams
  • Procurement has to go through enterprise processes with global approved vendors
  • You need civil liability coverage above €10M
  • You're going to certify ISO / SOC / regulatory processes and need provider audit with same scope
[ Real scenarios ]

Situations where it works better with us.

01

Mid-market insurer — claims automation

The insurer asked for quote from a Big Four (18 months, €320k) and from us. Acotated pilot in one line, 3 months, €45k. ROI at week 8 with own metrics. Scaled to 4 lines in the following 6 months with our team + progressive handover to internal CoE.

−45 % time per claim · 3 months vs 18 months
02

Madrid law firm — contract review

Big Four proposed integrated corporate contract lifecycle management platform (€200k, 12 months, requiring change of current document manager). Us: AI agent over existing iManage. 6 weeks, €22k. Junior freed 380 h/month.

−73 % time per contract · €22k vs €200k
03

200-store retailer — proprietary recommender

Enterprise consultancy proposed replacing CDP + integrating standard commerce platform. Us: custom model over current catalogue + API integration with Shopify Plus. 10 weeks, €60k vs €380k budgeted.

+22 % ticket · 6x lower cost
[ Honest questions ]

What the decision-maker asks.

Why are you 3-8x cheaper per use case than Accenture or Deloitte for the same real scope?

Three concrete reasons: different operational structure, specialised focus and scope honesty. Big Four operate business models with corporate overhead (global offices, partners, commercial layer, internal training) billed to the client. Our structure is direct: seniors executing, no intermediate layers.

Additionally, a project that in Big Four includes parallel workstreams for "strategy, governance, organisational change, architecture, risk, communication", we acotate to the executable core: what gets automated, how, at what cost and what ROI. Other workstreams may be useful but aren't necessary to put AI in production.

Finally, our team is 100% senior. In Big Four pilots are sold with partners and executed with juniors + managers. Our hour cost is higher than a junior's, but hourly productivity is 3-5x higher.

Isn't it a risk to pick a small agency over Big Four for a critical enterprise project?

Depends on the project. For initiatives with high regulatory risk (central banking, public health, defence) or full transformation projects with multiple workstreams, yes, Big Four brings horizontal coverage and backing we don't have.

For acotated AI/automation initiatives with measurable ROI, the real risk is the opposite: hiring Big Four for a €50-200k project usually results in pilots taking 9-18 months, changing scope 3 times and ending without reaching production. The speed of a specialised boutique reduces the "project that never ships" risk.

We sign NDA and processing agreement under GDPR. For enterprise projects we offer formal SLAs and civil liability insurance. We provide references under NDA when sales requires it.

Could you work as technical partner under a Big Four umbrella if our committee prefers that option?

Yes. When for political reasons, global reference or corporate procurement you're interested in contracting with Big Four, we can act as specialised technical partner in execution. In this model Big Four handles the commercial relationship and project governance, and we bring the AI team that executes.

The advantage: you keep Big Four's reference and coverage, with speed and specialised expertise of a boutique. Trade-off: total cost remains higher than working with us directly — there's Big Four margin on top.

This model works especially well in banking, insurers and public sector where vendor governance is critical.

How do you do knowledge transfer if we're used to Big Four's exhaustive documentation?

We deliver executable technical documentation (architecture, commented code, operational procedures, runbooks) + structured training for your team (4-12 sessions depending on complexity). We don't do 300-page PowerPoint decks — we do documentation a reasonable DevOps or data engineer can read and operate.

If you need "Big Four style" format (formal policy, RACI matrix, extensive gap analysis), we can produce it but it usually adds 10-15% to budget without adding operational value. We only do it when internal compliance explicitly requires it.

The proof of the pudding: at project end your team should be able to operate the solution without us. If that doesn't happen, the handover wasn't worth it. This is our KPI, not the deliverable page count.

Comparing for real?

Free 30-min diagnosis. No hard sell — if the Big Four fits your project better, we\'ll tell you.