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From strategy to deployment to ongoing optimisation - trustMinder works alongside your team at whatever stage you're at. If you have a problem that AI or data can help with, we're probably already working on something like it.
Book a working session30 minutes. Tell us what you're working on.
Most organisations know they need to do more with AI. Fewer know where to start, how to prioritise, or how to define success before spending on development. We help you answer those questions first - so what gets built actually delivers a measurable return.
We map your current operations, data sources, and workflows to identify where AI creates the most business value. Output: a ranked list of use cases with effort, impact, and sequencing recommendations.
Not every AI initiative is worth building. We help you cut through the noise and focus on the two or three use cases most likely to move a KPI you actually care about.
The most common reason AI programmes fail is that success was never defined before deployment. We design the KPI framework, measurement architecture, and evaluation criteria before a line of code is written.
Data quality, infrastructure, team capability, governance - we assess your current state against what a successful AI deployment actually requires, and give you a clear gap analysis.
The choice of model, provider, and architecture has significant cost and performance implications. We evaluate options against your specific use case and make a recommendation grounded in what we've seen work in production.
Guardrails, human-in-the-loop design, audit trails, compliance alignment. We help organisations deploy AI confidently by building the oversight structure before problems arise.
For organisations building or rebuilding a customer experience listening program - we design the strategy, agent selection, signal sources, and measurement framework from the ground up.
We design and build AI systems that connect to real workflows and produce measurable outputs. From a single agent to a multi-model pipeline, we work in the stack your team already uses and deliver working systems - not prototypes.
Custom agents designed around specific business workflows - CX, operations, sales, support, compliance. We scope the agent against a defined business outcome, build it, test it, and hand it over with documentation and evaluation criteria.
How a prompt is structured determines whether an AI system is reliable or erratic. We design, test, and optimise prompts for accuracy, consistency, and cost efficiency - and we maintain them as models change.
Retrieval-augmented generation lets AI systems work with your organisation's own data - documents, knowledge bases, product information, historical records. We design and build the retrieval architecture, vector stores, and embedding pipelines that make this work reliably.
When general-purpose models aren't precise enough for a domain-specific task, we fine-tune. We scope the dataset requirements, manage the training process, and evaluate the output against your production criteria.
Connecting AI outputs to the tools your team already uses - CRMs, helpdesks, ERPs, communication platforms, reporting systems. We build the integration layer so that AI decisions trigger real actions without manual handoff.
Complex tasks often require multiple agents working in sequence or in parallel. We design the orchestration logic, hand-off structure, and failure handling for multi-agent systems that need to run reliably in production.
Full configuration of trustMinder's agent library for your customer journey - survey design, distribution setup, routing logic, dashboard configuration, integration to your CRM or support stack.
AI systems are only as good as the data they work with. We design and build the pipelines that collect, clean, structure, and route data to where it needs to go.
Deploying an AI system is not the end of the work - it's the beginning. Models change, use cases evolve, and performance drifts without active management. We run, monitor, and continuously improve AI programs so your team can focus on what the output tells you, not on keeping the system running.
We run the full customer experience program for you - survey design, distribution, analysis, routing, and improvement tracking. You get the insight and the actions without managing the platform. Setup is automated - programs typically go live within hours of design sign-off.
We track whether your deployed agents are hitting the business KPIs they were designed to move - not just whether they're running. If performance drifts, we identify the cause and fix it before it shows up in your metrics.
Prompts that worked when a model launched may degrade as the model is updated or as your use case evolves. We run regular optimisation cycles to keep accuracy and cost in line with expectations.
Frontier AI models change every three to six months. Decisions made in Q1 can be wrong by Q3. We review your model choices quarterly and recommend upgrades or switches when a newer model materially improves your use case performance or reduces cost.
We instrument your AI systems to connect agent activity to business outcomes - not just token spend. Output: a clear picture of what each system is costing and what it's returning, in terms your finance team can use.
APIs change, models get deprecated, integrations need updating, new data sources need connecting. We provide ongoing technical maintenance so your AI systems stay current without internal overhead.
For RAG-based systems, the quality of the knowledge base determines the quality of the output. We maintain, update, and expand your vector knowledge bases as your organisation's information changes.
For organisations running multiple AI initiatives, we provide the cross-functional coordination that keeps use cases aligned, prevents overlap, and ensures the right KPIs are being tracked across the portfolio.
NPS +14 points in 6 months
Mid-market manufacturer - delivery experience program designed and managed by trustMinder
Manual reporting time -74%
B2B SaaS company - AI-assisted reporting program managed by trustMinder
Churn -9% among at-risk customers
Regional broadband provider - 220K customers, AI-assisted signal detection and routing
At-risk accounts identified 37% earlier
Professional services firm - AI-assisted CX monitoring across a 320-person organisation
We start every engagement with a working session - not a product demo. You describe the problem, the data you have, and what success looks like. We ask the questions that shape what gets built.
Based on the session, we recommend the right starting point - whether that's a strategy engagement, a specific build, or a managed program. We scope it concretely: what we'll deliver, by when, and how we'll measure it.
Most engagements produce a working output within days - an agent v1, a scoped assessment, a live program. Not a roadmap. Not a prototype. Something running against your actual data or customer journey.
30 minutes. No pitch. Tell us what you're trying to solve.
trustMinder works with organisations across financial services, manufacturing, utilities, healthcare, professional services, and technology. If you're working on something that doesn't fit neatly into a category on this page, book a session anyway. The best engagements usually start with "we don't know exactly what we need yet."
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