Evocom AI Credits

Evocom AI (Credits‑Based) — Start Small, Scale with Controlled Usage

1) Description of the offer
Evocom AI is a secure multi‑agent automation platform built for the Microsoft ecosystem that combines user subscriptions for access with prepaid usage credits for execution. This model lets organizations start with a small, predictable budget and scale adoption as automation proves value. Credits are consumed only when using the app or AI agents run workflows—so spend aligns with real, measurable work output rather than vague “AI usage.”

Evocom AI uses a transparent, unit‑based consumption logic. Based on the published credit packs (€250 = 25,000 credits ⇒ 1 credit = €0.01), typical fixed execution unit costs are:

• Manager execution: 5 credits (per run step)
• Agent execution: 3 credits (per agent run step)
• API call: 1 credit (per call)

In addition, variable components such as LLM tokens/embeddings, search queries, and document parsing/OCR can be estimated and optimized as usage grows—supporting a practical “learn, measure, scale” rollout.

2) Type of user that benefits from the offer
Evocom AI benefits:

• Business users and process owners who want to automate recurring knowledge‑work tasks without building custom software.
• IT and AI governance teams that need enterprise controls, budget boundaries, and a scalable operating model for agents and workflows across departments.
• Organizations that prefer predictable rollout: subscriptions standardize access; credits scale execution with measurable unit costs.

3) Customer need or pain addressed
Many companies struggle to scale AI beyond pilots because costs become opaque, budgets are hard to control, and “all‑you‑can‑eat” pricing doesn’t map to business outcomes. Evocom AI addresses this by separating platform access (subscriptions) from consumption (credits), making automation spend transparent and controllable. Teams can start small, cap usage with prepaid credits, and scale only when workflows show measurable ROI—while keeping unit costs per execution step visible and auditable.