Independent AI advisory for companies making expensive technology decisions
Most organisations know AI matters. Very few know where it will actually pay. We work with mid-market companies, private equity portfolio businesses and agencies to find where AI creates commercial value, assess vendors without bias, and keep systems reliable once they are live. No software to sell you. No vendor commissions.
Built on delivery, not slide decks
MultiplyChain runs on 19 years of hands-on technology and change work across FMCG, private equity backed businesses and agency networks. We have run operational AI programmes, handled M&A digital integration, built automation at scale, and sat inside the organisations making these calls rather than advising from the outside.<br/><br/>That shapes how we work. Commercial case first, technology second. We do not get to vendor selection until we understand what the business is buying and what it is worth.
Who we work with
Mid-market companies Specialised for intricate operations with high automation potential. We target manual roadblocks to lower costs, ensuring you avoid high-risk, irreversible vendor commitments. Private equity portfolio companies Supporting operating partners with objective pre-investment reviews. We validate AI potential across portfolios to determine exactly where capital should be deployed for maximum impact. Agencies and service businesses Practical AI strategies for high-pressure delivery environments. Having managed large-scale networks, we align technology with your specific margin, resource and client requirements. Utilities and infrastructure operators Expert guidance for water, waste and energy sectors. We help operators and investors evaluate if assets can support compute loads and quantify the resulting commercial value.
How an engagement runs
How an engagement runs
You do not know where the value is
AI budgets get allocated against whatever the loudest vendor demonstrated. We map your operations against where automation actually reduces cost, removes a bottleneck or increases throughput, then build the commercial case before anyone signs anything.
You cannot see it when it breaks
AI systems fail quietly. A claims model starts rejecting good claims, a support agent starts giving wrong answers, and nobody knows until customers complain. Our product, SignalCrux, watches production AI pipelines for the instability that precedes failure, giving you time to intervene rather than apologise.
Choose
Vendor assessment against your requirements, not their demonstration. Technical scrutiny, contract and lock-in risk, compliance position.
Run it safely
Reliability monitoring on live systems so degradation is caught before it reaches a customer.