Field Notes
Thinking from the deployment layer.
Notes on Forward Deployed AI, enterprise systems, agents, evaluation and production adoption.
What is Forward Deployed AI?
The core field guide for the category Bigdoor Ai Labs is building around.
Read guide →Pilot to productionAI pilot vs production AI
What changes across data, evaluation, integrations, security, reliability, monitoring, economics and ownership when a pilot becomes a production system.
Read comparison →Use-case prioritisationHow to identify the best AI use cases inside your business
A practical framework for comparing AI opportunities across value, workflow fit, data readiness, feasibility, risk, adoption and ownership.
Read prioritisation guide →AI readinessAI readiness assessment: is your business ready for AI?
How to assess workflow, data, integrations, evaluation, controls, ownership and adoption before committing to production AI.
Read readiness guide →Readiness frameworkThe 7 dimensions of enterprise AI readiness
Assess strategy, workflow, data, technology, evaluation, governance and adoption as a connected production-readiness system.
Read seven-dimension guide →Enterprise implementationEnterprise AI implementation: from idea to production
A practical implementation sequence covering workflow selection, architecture, evals, controls, rollout and operations.
Read implementation guide →Decision guideWhen should a company hire a Forward Deployed AI partner?
Seven signals that embedded engineering is justified, when it is not, and how to evaluate a partner.
Read decision guide →Operating modelHow a Forward Deployed AI team should be structured
Roles, skills, staffing patterns and delivery cadence for production AI work.
Read team guide →DeploymentWhy AI projects stall between prototype and production
The integration, evaluation, control, operations and adoption gaps behind stalled pilots.
Read production guide →MethodWhy workflow comes before model choice
See how Bigdoor Ai Labs structures discovery, architecture, deployment and adoption.
Explore method →Move from intent to deployment