PlatformBridge / Guides
Before you invest in AI,
know what it takes.
Practical guides for putting AI to work inside real businesses. Choose the right opportunity, understand the economics, and find a team that can deliver.
Start with a question
What do you need to decide?
The full picture
From a business problem to daily use.
Understand the full scope of an AI implementation before deciding what to build or who to hire.
Planning & investment
Choose useful work and make the investment case.
Should we build or buy AI?
Compare ready-made AI software, configured integrations, and custom workflows using a decision matrix, worked example, and downloadable build-or-buy worksheet.
4 min readHow long does AI implementation take?
Build a credible AI implementation timeline by separating delivery work, access approvals, testing, and rollout. Includes a worked schedule and planning worksheet.
5 min readWhat data do we need before implementing AI?
Identify the business records, reference material, and test cases one AI workflow needs. Includes a data inventory worksheet and an invoice-review example.
5 min readWhat is enterprise AI implementation?
Understand what an AI implementation includes, who needs to be involved, and how to move from a business problem to a supported workflow.
3 min readHow to identify business processes worth automating with AI
Assess AI readiness, compare opportunities, and build an implementation roadmap around evidence, dependencies, business value, and clear stop conditions.
5 min readHow to calculate AI automation ROI
Estimate recovered capacity, realizable value, operating costs, and payback with a practical AI automation ROI calculator and worked example.
3 min readHow much does AI implementation cost?
Learn what drives AI implementation cost, how to compare proposals, and which build and operating costs belong in your business case.
3 min readAI agent vs RPA: which fits your business process?
Compare AI agents, robotic process automation, and ordinary integrations by task variability, reliability, maintenance, and business fit.
3 min readChoosing a partner
Know what to ask of the team that will deliver it.
AI integration services: what belongs in the scope
Scope AI integration work before choosing a provider: system access, permitted writes, failure recovery, acceptance tests, and a downloadable project brief.
5 min readAI agent development services: define what you are buying
Compare AI agent development proposals with an action-permission matrix, acceptance cases, operating costs, and an editable commissioning brief.
5 min readAI consultancy vs systems integrator: how to choose a delivery partner
Compare AI consultancies and systems integrators by delivery scope, accountable team, acceptance criteria, and support—not the label on the proposal.
3 min readWhat is forward-deployed engineering? A buyer’s guide
Learn what forward-deployed engineering means for a business buyer, how it differs from staff augmentation, and what deliverables to expect.
3 min readProduction & reliability
Understand what it takes to launch and keep it working.
An AI governance framework for one production workflow
A practical AI governance worksheet for assigning owners, approving actions, recording release evidence, and deciding when a workflow must stop or be reviewed.
6 min readAI pilot to production: a practical deployment guide
Move an AI pilot into daily use with clear acceptance criteria, integration checks, human review, rollout controls, and support ownership.
3 min readWhy AI pilots fail to reach production—and what to check
Diagnose a stalled AI pilot by examining business value, data access, integration gaps, evaluation, operator workload, and ownership.
3 min readHuman-in-the-loop AI: how to design useful review steps
Decide which AI actions need approval, what reviewers must see, and how to keep human review from becoming a new operational bottleneck.
3 min readAI agent evaluation: what buyers should require before launch
Evaluate AI workflows against business outcomes, error consequences, representative cases, and the actions the system is allowed to take.
3 min readAI agent observability: what to monitor in production
Monitor AI workflows for business completion, queue health, correction effort, cost, and failures—not just model latency and uptime.
3 min readAI workflow architecture: a practical guide for business buyers
Understand the parts of a production AI workflow, where deterministic controls belong, and what to ask before approving an implementation.
3 min readHave a process in mind?
Bring the bottleneck, the systems involved, and the outcome you want. We’ll help you work out what is worth building.
Talk through your opportunity