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ai strategy
All articles tagged with "ai strategy".
Platform capabilities and technical insights
Autonomous Decisions: The Governance Framework Mid-Market Distributors Need Before Deployment
Autonomous agents can accelerate decisions and reduce costs in B2B commerce. But most mid-market distributors lack the governance frameworks to deploy them safely. Without audit trails, decision boundaries, escalation rules, and performance monitoring, autonomous systems become liabilities. This article maps the four control pillars required before autonomous decision-making goes into production—and the practical roadmap for implementing them without killing velocity.
Platform capabilities and technical insights
Build vs Buy vs Partner: The AI Vendor Selection Framework for Mid-Market Distributors
Mid-market distributors face three paths when deploying AI: pre-built vendor models, custom development, or third-party APIs. Most lack a clear framework to evaluate them. The wrong choice delays implementation by 6-12 months and wastes £50,000-£200,000. This decision matrix maps implementation timeline, cost structure, and risk profile for each approach. Pre-built models deploy in 8-12 weeks at lower cost but limited customisation. Custom development takes 16-24 weeks with full control and competitive advantage. Third-party APIs offer middle ground at moderate cost and configuration flexibility. The right choice depends on data maturity, technical capacity, and competitive urgency. A distributor with clean data and a 6-month runway can pursue custom development. A distributor with fragmented systems and a 10-week deadline cannot. Four questions determine the viable path: data quality, timeline urgency, competitive differentiation, and internal technical capacity.
Decision intelligence implementation insights
Why Big 4 Consultancies Can't Solve Operational Decisions
Strategy consultants excel at organisational design but struggle with operational systems that turn data into action. Most mid-market distributors need faster pricing decisions, not transformation roadmaps.
Decision intelligence implementation insights
The £8 Billion GenAI Governance Gap: What B2B Commerce Leaders Must Know
Forrester predicts B2B companies will lose over £6.4 billion in 2026 due to ungoverned AI use. Mid-market distributors score 4.8/10 on AI governance readiness, creating vulnerabilities in pricing, inventory, and customer communications that cascade through supply chains and destroy relationships worth millions.
Decision intelligence implementation insights
Why Most Commerce Businesses Don't Need AI Strategy, They Need Decision Clarity
Most B2B commerce businesses don't need a sweeping AI strategy. They need clarity on the handful of critical operational decisions that drain time and margin, one decision at a time.
WithPraxis
The AI Implementation Paradox: Why 73% of Mid-Market Distributors Start Wrong
Most mid-market distributors approach AI implementation backwards, starting with technology selection instead of decision mapping. This produces predictable failure rates of 73% within the first year. The distributors who succeed do something counter-intuitive: they map operational decisions first, then select technology to support specific choices. This reversal produces faster implementations, clearer ROI, and sustainable operational improvement.