FAQ

Frequently asked questions

Everything leaders and transformation teams ask us before they start.

32 questions

About Elevant

What is Elevant?

Elevant is an AI-powered transformation platform designed as the digital counterpart to a consultant. It embeds consulting methodologies so you can frame, analyse and deliver your engagements faster, more consistently and at a far lower cost.

Who is behind Elevant?

Experienced consultants with backgrounds in strategy, enterprise architecture and business analysis. Their goal: encode proven consulting methods into an AI-enabled environment built for practitioners.

What does “Elevant” mean?

The name refers to the challenge of transforming a company, much like moving an elephant upstairs. Elevant makes that climb smoother, faster and more intelligent.

Will AI replace consultants?

No. AI amplifies expertise. It absorbs repetitive, low-value work so you keep the judgement, the analysis, the creativity and the client relationship.

Where is Elevant based?

Elevant is headquartered in Belgium and works with clients across Europe. The team combines consulting, AI and enterprise architecture.

Does Elevant replace a consulting firm?

No, Elevant replaces the analysis and formatting work, not the judgement. The platform produces in a few hours the deliverables a firm bills in weeks: framing, diagnostics, target models, roadmaps. Arbitration, decisions and the relationship with your stakeholders remain yours. Many of our clients use it upstream of, or alongside, a consulting engagement.

AI, technology and compatibility

Can I get the same results with ChatGPT, Gemini or Copilot?

Not quite. General-purpose assistants generate useful content. Elevant is built for structured consulting and transformation work: it applies methodologies and produces structured deliverables such as frameworks, models and roadmaps.

We already use Copilot or Gemini. Why Elevant?

Elevant complements them. Copilot and Gemini support day-to-day productivity; Elevant supports strategic reasoning, modelling and transformation design. Outputs from other AI tools can even be used as inputs inside Elevant.

What AI technology do you use?

Large language models combined with proprietary logic for modelling, methodology execution and architecture mapping. The aim is output that is more structured, traceable and controlled than plain text generation.

Security, privacy and compliance

Is my data secure?

Yes. Data is encrypted at rest and in transit, with access controls and activity logging. Projects are segregated, so nothing is shared between projects unless you configure it explicitly.

Do you train AI models on my data?

No. Your data is never used to train or fine-tune our models, not even anonymised. You retain ownership and control, and project data stays separate.

Where is my data hosted?

In European GDPR-compliant data centres. Other hosting regions can be considered where specific data-residency requirements apply.

Do my proprietary methodologies stay confidential?

Yes, your methodologies remain your property and are never shared with other companies. They are stored in your isolated workspace, hosted in Europe, and are not used to train third-party models. Only the people you authorise can view and use them. You can remove them at any time.

Implementation and results

How long does implementation take?

Typically 2 to 4 weeks depending on customisation. Standard methodologies are usable immediately while configuration, tailoring and training are completed.

When will we see results?

Usually within the first project cycle, often in 2 to 3 weeks: faster preparation, more structured deliverables, a better client experience.

Do we need technical expertise?

No coding required. The platform is designed for consultants, strategists, leaders and professionals familiar with transformation projects and business frameworks.

What support do you offer?

Onboarding, training and ongoing support are included. Enterprise customers also get dedicated customer-success support for adoption and continuous improvement.

How long until a first deliverable?

Allow about 15 minutes for a first structured deliverable. The time mainly depends on how precise your description is and how many methodologies are involved. A simple framing comes out in minutes; a full sequence, from diagnosis to roadmap, takes hours, not weeks. You can then iterate as many times as needed.

What kinds of projects can Elevant help with?

Any transformation or strategic-decision project. Concretely: framing a project or programme, defining a target organisation, analysing and redesigning processes, market research and customer intelligence, change plans, AI business cases. If you have a strategic question, Elevant can structure it and produce the matching deliverable.

Integration and customisation

Does Elevant integrate with our existing tools?

Yes. Elevant connects with collaboration, modelling and project-management tools, and offers an open API for custom integrations.

Can we add our own methodologies?

Yes. Your proprietary frameworks, templates and workflows can be built into the platform so it reflects the way you deliver.

Which languages are supported?

English, French, Dutch and German.

Can several people work on the same deliverable?

Yes. You can invite colleagues to a project, share the context and iterate together on the same deliverable. Each project stays isolated and accessible only to the people you authorise. Everyone works from the same base and with the same methodologies, which avoids diverging versions.

Difference, quality and vision

Who uses Elevant?

Consulting firms and transformation teams across Europe, from boutique consultancies to large industrial organisations.

What makes you different from other AI tools?

Elevant produces structured, reusable consulting intelligence rather than prose or slides alone: frameworks, models, roadmaps and deliverables grounded in consulting logic.

How do you ensure quality and control?

Outputs stay editable and transparent. The principle is human-in-the-loop: the AI suggests, you decide.

Can Elevant evolve with new AI models?

Yes. The architecture is model-agnostic, so newer open or proprietary models can be integrated while our domain logic and security controls stay in place.

What is on your roadmap?

Industry-specific and expert modules, deeper integrations with architecture tools, and quality improvements based on anonymised metadata, never on your project data.

How does Elevant choose the right methodology?

Elevant starts from your problem, not from a catalogue. Based on what you describe, the platform identifies among more than 200 methodologies the ones that address your situation, sequences them in the right order and explains why. You validate or adjust this analysis plan before launch. You can also impose a specific methodology, including one of your own.

Pricing, trial and getting started

How much does Elevant cost?

Pricing is an enterprise subscription that varies with usage and team size: platform access, setup and onboarding, user or action-based fees, and support or customer success.

Can we try Elevant before committing?

Yes. Guided demonstrations and pilot projects let you evaluate the platform and its results before any broader rollout.

How do we get started?

Book a discovery call. We review your use case, run a live demonstration and define an onboarding roadmap with you.

FAQ

Question not answered here?

Describe your context and we come back with a concrete framing.