Enterprise AI Consulting

Technology
made human.

Accessible intelligence made for those who move the world. We care for your technology as if it were our own — with clarity, warmth, and real partnership.

No commitment. Just a straight, honest conversation about your needs.

01

What We Deliver

Six service areas, one through-line: making your AI investment legible, durable, and genuinely useful.

AI Strategy & Roadmapping

We help you see the full picture before making decisions. Together, we'll build a clear, prioritised roadmap that your whole team can understand — with honest assessments of what's worth pursuing and what isn't.

StrategyRoadmapClarity

AI Infrastructure & Architecture

A reliable AI system needs a solid foundation. We design and build the cloud infrastructure that makes AI workloads production-ready — secure, observable, and cost-effective. Built on Azure, built to last.

AzureInfrastructureProduction

Enterprise AI Integration

Your existing systems matter. We connect AI capabilities into the tools your teams already use — language models, retrieval systems, automation — without the fragile integrations that create more problems than they solve.

IntegrationLLMsAutomation

Knowledge & Memory Systems

Most organisations know far more than their tools can find. We design knowledge architectures — RAG pipelines, semantic search, structured memory — that make your institutional knowledge accessible and useful.

RAGSearchKnowledge

Technical Due Diligence

Evaluating a vendor, acquiring a company, or inheriting a system you didn't build? We provide clear, honest technical assessments — in language your board can act on.

AuditAssessmentClarity

Team Enablement & Training

The best AI system is one your people can run without calling us. We design practical, hands-on programmes built around your actual stack — so capability stays in-house.

TrainingWorkshopsHandover
02

How We Work

A process designed around one question: what does good actually look like for you?

We don't believe in complicating things. SolidPlus was founded on a simple premise: technology should serve people, not the other way around. We listen first, build with care, and leave you with systems you truly own.

01

Understand

We start by listening more than we talk. We map your current state honestly: your infrastructure, workflows, your team's real capabilities, and the gaps between where you are and where you're trying to get.

02

Define

Before a line of code is written, we agree on what success looks like — in concrete, measurable terms. You'll get a clear picture of the work ahead, the decisions involved, and the trade-offs.

03

Build

Hands-on delivery, with your team involved throughout. We build in the open: documented decisions, clean infrastructure-as-code, and regular checkpoints that keep you informed and in control.

04

Hand Over

Every engagement ends with a deliberate handover. We document what we built, run walkthroughs with your team, and leave systems your people can operate, extend, and confidently explain.

03

Why SolidPlus

A few things that set us apart.

We care for your technology as if it were our own

This isn't a slogan — it's how we work. We treat every system, every decision, and every handover with the same care we'd want for our own projects.

Real support that speaks your language

We don't hide behind jargon or complexity. Whether we're talking to your engineers or your board, we communicate with clarity and warmth.

Active listening, solid delivery

We start by understanding — really understanding — where you are and where you need to go. Then we build with precision, transparency, and care.

We build for the team that comes after us

Every engagement ends with your team stronger. We design systems your people can own, extend, and confidently explain — not black boxes that create dependency.

Deep expertise in knowledge systems

We built NeuroStack, an open-source neuroscience-grounded knowledge architecture. This isn't theoretical — it's proven, published, and shapes how we approach every enterprise knowledge challenge.

Fewer barriers, more clarity

We solve before it gets complicated. Our approach removes friction at every step — accessible technology that grows with you, not against you.

04

Results

Work we're proud of. Clients who'd rather stay anonymous — but kindly let us share the outcomes.

Financial Services
12
weeks to production

The situation

A mid-size financial services firm had run three separate AI pilots over two years. Each produced a demo. None produced a system their team could run.

What we did

Audited all three prior engagements, identified the infrastructure and handover gaps, and rebuilt the most viable use case on a clean Azure foundation — with documentation, runbooks, and a team enablement programme.

The result

First production AI workflow live within twelve weeks. Team fully self-sufficient within six months.

Professional Services
60%
fewer support requests

The situation

A professional services organisation with 200+ staff had fifteen years of documentation spread across SharePoint, email, and individual drives. New starters took months to become effective.

What we did

Designed and deployed a semantic knowledge retrieval system built on their existing Microsoft 365 stack — indexing, chunking, embedding, and a natural-language interface.

The result

60% reduction in "where do I find X" support requests within eight weeks. Used daily by 80% of the team within three months.

Technology
Series B
completed

The situation

A scaling technology company needed an AI roadmap for their board and potential investors. Previous attempts had produced documents that didn't survive technical scrutiny.

What we did

Worked with CTO and leadership over six weeks to produce a grounded, technically honest AI strategy — with clear prioritisation and an architecture vision the engineering team signed off on.

The result

Strategy presented to board with confidence. External reviewers described it as "the most credible AI roadmap we've seen from a company this size."

05

The Founder

Built by someone who's been in the infrastructure.

Rapha Southall is an infrastructure engineer and AI systems architect with deep expertise in Microsoft Azure and enterprise cloud architecture. Before founding SolidPlus, he spent years designing and operating the kind of production systems that AI workloads actually have to run on — giving him a perspective that starts with "will this hold up in production?" rather than "does this look good in a presentation?"

He is the creator of NeuroStack , a neuroscience-grounded knowledge architecture that applies principles from cognitive science — consolidation, associative retrieval, predictive coding — to the problem of enterprise knowledge management.

Rapha is Brazilian-British, based in the UK, and works with organisations across Europe. He believes the most valuable thing a technical advisor can offer is honest clarity — and that the best measure of a successful engagement is whether the client needs you less at the end than at the beginning.

06

Common Questions

What does enterprise AI consulting involve?

Enterprise AI consulting covers the full lifecycle: assessing your organisation's readiness, defining an AI strategy aligned to business goals, selecting and implementing the right technologies, and establishing governance frameworks. We work from strategy through to production deployment.

How long does a typical engagement take?

A focused strategy engagement runs 4-8 weeks. Implementation sprints deliver working systems in 8-12 weeks. We design every engagement with speed-to-value in mind — no 18-month transformation programmes.

Do you work with regulated industries?

Yes. We have experience with financial services, professional services, and logistics clients where regulatory compliance, data governance, and security are core considerations in every engagement.

What's the difference between AI strategy and implementation?

AI strategy defines what to build and why — identifying use cases, assessing ROI, and creating a roadmap. Implementation is the technical execution: building, integrating, and deploying AI systems. SolidPlus provides both, end-to-end.

How do you measure ROI?

We define success metrics at the outset: cost reduction targets, time-to-value milestones, and risk reduction KPIs. Every recommendation is tied to a measurable business outcome, not technical capability alone.

07

Get in Touch

Got a project in mind? Let's talk about whether we're the right fit.

We don't outsource relationships. When you work with us, you get a true partner — someone who listens, understands your world, and cares about getting it right. The first conversation is always free, always honest, and always worth having.

No jargon. No pressure. Just a warm, honest conversation about where you are and where you want to go.

Prefer email? admin@solidplus.tech

Your information is never shared with third parties. We respond within one business day.