FAQ · Common questions

Questions, answered.

What we build, how our autonomous fleet ships with humans in command, what “AI for Good” means in practice, and how an engagement works — the things teams ask us most before starting.

01

Services

  • What does Enaayah actually build?

    We design, build, and operate intelligent software end to end — autonomous AI engineering, AI product development, grounded assistants with cited retrieval, custom AI integrations, data and ML systems, and managed operations. If it makes people measurably better off, it is the kind of work we take on.

  • Do you only work on AI projects?

    AI is at the centre of what we do, but most engagements also involve the ordinary engineering around it: web and product interfaces, APIs, data pipelines, and integrations with the tools you already run. We build the whole system, not just the model.

  • Can you work with our existing product and stack?

    Yes. We frequently add AI capabilities to an existing codebase or product rather than starting from scratch, integrating with the languages, data stores, and services your team already uses so the result fits your stack instead of replacing it.

02

Process

  • How do you take a project from idea to shipped software?

    Every engagement runs through a four-stage process — Brief, Plan, Autonomous build, and Human review & ship. An autonomous fleet of AI agents does the heavy lifting under human command, with a review gate at every stage so nothing reaches production without a person accountable for it. You can read the full method on our Process page.

  • How fast can you deliver?

    Because the build is carried out by a fleet of AI agents working in parallel, we move from a signed brief to working software in days or weeks rather than quarters. The exact timeline depends on scope and the review gates we agree up front, but speed never comes at the cost of human oversight.

  • Is there still human oversight if AI writes the code?

    Always. The fleet plans, builds, and self-reviews, but a human reviews and signs off at every gate — scope, plan, and the final ship. We pair machine speed with human accountability by design; there is no step where software reaches your users without a person in command.

03

AI for Good

  • What does “AI for Good” mean at Enaayah?

    It means we offer a special discount for work that helps people — our AI-for-Good mission rate. We are a commercial studio, not a charity, but when a project maps to a genuine social good we lower our rate for it. Before such an engagement we agree who it helps and how we will know we have helped them.

  • How do you handle responsible and safe AI?

    Responsible-AI constraints are agreed in writing during the brief and enforced at every review gate. We favour grounded, retrieval-augmented assistants that cite their sources so answers are traceable, and we keep humans in the loop wherever a decision affects real people. Our Responsible AI page covers this in more detail.

  • Will you turn a project down?

    Yes. If we do not believe a project makes people better off, we will not build it — that filter is the whole point of the studio. We would rather have a candid conversation about scope and impact early than ship something we cannot stand behind.

04

Engagement

  • How do we start working together?

    Tell us about your project through our Contact page. We will set up a conversation to understand the outcome you are after, agree scope and guardrails, and share a plan before any building begins — so you know exactly what you are getting before you commit.

  • How are engagements structured and priced?

    Engagements are scoped to a specific outcome with success criteria agreed in the brief. Pricing depends on that scope and the level of ongoing operation you need, and we set it out clearly before work starts. Get in touch and we will walk you through the options for your project.

  • Do you offer ongoing support after launch?

    Yes. Beyond one-off builds we offer managed and operated engagements, where we continue to run, monitor, and improve the software after it ships. We will agree the support model that fits your team as part of the brief.

Let's build

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