What pushes teams to consider an alternative to Slalom
Honest reasons teams shopping in this category move on. None of these mean Slalom does bad work, just that the fit is wrong for the project.
Your project is AI delivery, not enterprise transformation
Slalom is calibrated for multi-phase enterprise programmes that include strategy, change management, training, and platform implementation. That is the right shape for organisational transformation. For a focused AI product or workflow, the consulting overhead, governance layers, and stakeholder cadence designed for transformation work tend to slow it down.
You want vendor-neutral architecture decisions
Slalom's AI work is closely tied to AWS, Azure, Google Cloud, and Salesforce partnerships. Deep platform expertise is a real strength if you are committed to a stack. The trade-off is that partner-aligned consultancies tend to recommend platform-native solutions even when better alternatives exist for AI specifically.
You want delivery proof, not brand reassurance
Enterprise consulting brings credibility with procurement and the board. Real value. For an AI build, what your engineering lead and CFO want to see is the eval harness, the deployment runbook, the monitoring approach, and the production-grade artifacts that prove this thing will work and keep working.
You want a small dedicated team, not a layered engagement
Enterprise consulting models put strategists, architects, designers, and engineers in different roles with handoffs between phases. That works at scale. For a focused AI product, a small senior team that owns end-to-end is faster and produces less drift between what was scoped and what ships.
How Clarvia Dev approaches AI product delivery
Not better than Slalom. Different. Built for AI-first product delivery in weeks, with named artifacts and transparent partnership.
Built around weeks-to-production
Discovery Sprint, Build Sprint, Automation Rollout. Each scoped to ship a measurable thing in weeks, not quarters. The cadence is deliberate. We did not adapt enterprise rhythms downward; we built around AI delivery from day one.
Vendor-neutral by design
No cloud partnership quotas. We choose the model, provider, and architecture that fit your product, not what satisfies a partner relationship. If AWS Bedrock fits, we use it. If a self-hosted open model on a different stack fits, we use that instead.
AI-first, not AI-as-a-service-line
AI is what we do. Every engagement ships with evaluation, monitoring, fallback behaviour, prompt and retrieval architecture, and a deployment runbook. These are the floor, not premium add-ons.
Senior-led, transparent partnership
A small senior team owns delivery. Weekly demos, a shared backlog, acceptance criteria written down before the work starts. You always know where we are and what is shipping next.
When Slalom is still the right choice
You are running an enterprise-wide digital transformation programme and AI is one component of a broader scope
Change management, training, and organisational readiness matter as much as the technology itself
You are deeply invested in AWS, Azure, Google Cloud, or Salesforce and want a certified partner with deep platform expertise
You need a US consultancy with established local presence across many cities
Enterprise governance, executive stakeholder management, and large-team coordination are central to the engagement
Clarvia Dev vs Slalom
If you want a fair, category-by-category comparison covering offering, delivery model, pricing structure, speed, and AI specialisation, read the full comparison page.
Common questions
How is this different from your Clarvia Dev vs Slalom comparison page?
The /compare/clarvia-dev-vs-slalom page is a side-by-side covering offering, delivery model, AI approach, and pricing structure. This page is for teams who have already considered Slalom and want to understand what choosing a focused AI product agency instead actually looks like.
Are you a smaller version of Slalom?
No. Slalom is a management and technology consultancy with broad practice areas across strategy, cloud, analytics, and delivery. We are a focused AI product development agency. We do not aim to replicate enterprise consulting at smaller scale. Different model, different fit.
Can you handle enterprise procurement and security review?
Yes. We work with enterprise security, legal, and procurement teams regularly. Our Trust page publishes the data handling, governance, and evaluation methodology that procurement reviews ask about. Smaller and faster does not mean less rigorous.
What if our AI project really does need change management alongside it?
We will tell you. If your project genuinely requires multi-department change management, training programmes, and organisational readiness alongside the technology, we are the wrong partner and we will say so on the first call. We turn down projects that are not AI-led product delivery, because that is what we are built to do well.
Do you have AWS, Azure, or Google Cloud partnerships?
We work across all major clouds and pick what fits the project. We deliberately do not anchor to a single partner because AI architecture decisions should be driven by what is best for the product, not by partnership quotas. If a specific platform is a hard requirement on your side, we work within it without bias.
Build an AI product, not a transformation programme.
Book a free 15-minute call. We will tell you honestly whether your project fits a focused AI delivery model or whether a broader consulting engagement is the right call.