What we are learning while deploying Claude, AI employees, and automation in real organisations.
Reconciliation eats about 40 percent of fund accountant time. Here is how AI reconciliation agents actually work, what they cost per break, where they fail, and when a rules engine is the better buy.
SR 26-2 carved generative AI out of US model risk guidance. Here is the five-document pack a bank or insurer still needs for every LLM system: inventory, validation, monitoring, revalidation triggers.
Anthropic now ships ten ready-to-run finance agents, from pitch builders to a general ledger reconciler. Here is what each one does, what a real deployment costs, and where the accuracy limits bite.
How to vet an AI vendor so the file survives a bank exam: the regulatory floor, supply chain map, questions that surface risk, contract clauses, a scoring model and the monitoring plan.
Real numbers on LLM claims triage for insurers: what fine-tuned models score against ground truth, how the human review baseline actually behaves, per-claim API costs, and the governance supervisors expect.
CBK data shows half of Kenyan lenders already use AI while most SACCOs are still at the awareness stage. A practical guide to the first use cases, costs in shillings, and the governance steps that matter for SACCO boards and managers.
GA4 is free and Plausible starts at $9 a month, but the subscription fee is the smallest part of the real cost. A breakdown of blocked data, consent banners, retention limits, self-hosting trade-offs and when GA4 still wins.
US regulators retired SR 11-7 and left generative AI outside the new model risk guidance. Here is what changed, what survives, and the governance stack banks and insurers should build now.
The Kenya Data Protection Act does not force bank data to stay in Kenya. Learn what sections 25 to 50 require when a bank or insurer deploys an LLM, with ODPC fines and CBK survey data.
How much does it cost to build a custom AI agent in 2026? From $5K low-code solutions to $500K enterprise systems, here's the complete pricing breakdown with real-world examples and hidden costs.
Amazon is spending $200 billion on AI infrastructure in 2026 — a 53% increase that spooked investors. Here's why Big Tech's massive AI bet is actually good news for small and mid-size businesses.
Foxconn is doubling AI server production to 2,000 cabinets per week while building a 10,000 GPU AI supercomputer with NVIDIA. Here's why the AI infrastructure boom matters for businesses of all sizes.