Implementation

From First Role to Dependable Production

A governed, evidence-based journey. Supervised operation comes before wider authority.

  1. 1

    Discovery and KPI baseline

    Select the role and business outcome. Map work, systems, decisions, exceptions and the current cost and cycle time.

    Outputs: Process map, systems inventory, KPI baseline, assumptions register

  2. 2

    Role blueprint and contracts

    Define responsibilities, authority, autonomy matrix, approval routing and API/event contracts with your systems.

    Outputs: Role Blueprint, autonomy matrix, integration contracts

  3. 3

    Configuration and build

    Configure workflows, capabilities, channels, knowledge and model routing on the governed RapidData foundation.

    Outputs: Assistant Instance with bound tools, channels and knowledge

  4. 4

    Supervised operation and UAT

    Run real work with Ask First approvals and visible evidence. Simulate normal, exception and failure paths. Train the team.

    Outputs: Evaluation results, trained users, readiness review

  5. 5

    Production release

    Release a pinned Deployment Manifest with monitoring, fallback, reconciliation and rollback rules.

    Outputs: Immutable deployment, go-live sign-off

  6. 6

    Continuous AI Operations

    Monitor KPIs, sample production work, convert overrides into improvements and expand autonomy or roles based on evidence.

    Outputs: Business reviews, improvement releases, expansion roadmap

What we need from you

Your Team’s Role

An accountable business owner
Subject-matter time for process mapping
System access and API credentials through secure channels
Approval authorities and escalation contacts
Participation in supervised operation and UAT

What Operational Role Would You Assign to an AI Assistant First?