Book My AI Strategy Call

    G-ATAI / For business teams

    AI Consulting Services

    AI consulting for businesses deciding where AI will help, what to build first and how to connect it to real operations. Start with a specific decision or workflow rather than a list of tools.

    Book a strategy call What we scope and deliver ↓

    01 / When this service fits

    When this service fits

    Use this service when your team needs to compare AI opportunities, evaluate an existing idea or turn a broad AI initiative into a scoped implementation plan. It is useful before selecting vendors, models or infrastructure.

    02 / What we scope and deliver

    What we scope and deliver

    • Use-case shortlist ranked by business value, feasibility and operational risk.
    • Data and system readiness assessment, including access constraints and integration dependencies.
    • Pilot scope, evaluation plan and an implementation roadmap with decision checkpoints.

    How success is evaluated

    Agree on a baseline for the chosen workflow and a go/no-go decision for the pilot. Relevant measures may include task accuracy, time spent, cost per completed task and the frequency of human intervention.

    What to bring to the first call

    • One workflow, its users and the decision you want to improve.
    • Current tools, available data and the teams responsible for access.
    • Business priorities, security constraints and an indicative budget or timeline.

    From discovery to delivery

    1. Define the business problem

      Map users, the current workflow, data access and constraints. Agree on the baseline, acceptance criteria and scope before choosing a model or committing to a build.

    2. Test a focused pilot

      Evaluate a representative task with your data and users. Check quality, error handling, latency and running costs before expanding access or automating critical decisions.

    3. Integrate and hand over

      Plan permissions, deployment, monitoring and human review with your team. Agree on documentation, training and ongoing support in the project scope.

    Explore related project work

    These project pages show capabilities and product concepts. They do not establish independently verified customer outcomes or promise a return on investment. GARC includes a floor-plan beta; LogiTwin is a logistics concept.

    FinSight AI ↗GARC ↗All projects ↗

    Before you start

    How much does an AI project cost?

    Pricing depends on the workflow, data readiness, integrations, security requirements and support scope. A strategy call helps define these inputs; a proposal should separate implementation work from model, cloud and third-party running costs.

    Can we start with our existing software?

    Yes. The first step is to assess available APIs, permissions and data access. A limited integration or pilot may be more suitable than replacing a working system. Feasibility and delivery dates are agreed after discovery.

    Will AI operate without human review?

    That depends on the risk and task. Define approval points, permissions, fallback behavior and audit logs before deployment. Sensitive actions should stay within the controls agreed with your team.

    Plan your implementation

    Share your workflow, current systems and target outcome. Choose a time for a strategy call to discuss feasibility, scope and the next step.

    Book a strategy call