AI Implementation
Assistants, chatbots, document processing, RAG over your knowledge base, agentic workflows, and automation.
Every engagement begins with clarity — a fixed-scope assessment that pays for itself. From there, we deliver the work it surfaces.
In about two weeks, we assess your processes, tools, and data and hand you a prioritised map of where AI will save or make you money. Each opportunity is ranked by return on investment, with a practical roadmap and quick wins you can act on immediately.
Stakeholder interviews & process review
We map your workflows, systems, and data to understand where AI can slot in with minimal friction.
Data readiness & feasibility assessment
We check whether your data is actually ready to power an AI solution — and flag what needs fixing first.
Concrete AI use cases identified across the business
Named, specific opportunities in your context — not generic examples lifted from a slide deck.
Impact vs effort matrix with ROI estimates
Every opportunity scored on return, implementation effort, and risk so you can prioritise with confidence.
Risk, governance & POPIA considerations
We flag compliance and data-governance requirements for each use case before you commit to building.
Prioritised roadmap: quick wins, medium plays, bigger bets
A practical execution plan across 0–30 days, 1–3 months, and 3–12 months.
Recommended tools & vendors per use case
Opinionated, justified recommendations — not a vendor-neutral list of "it depends."
Give us read-only access to your AWS, Azure, or Google Cloud environment for a week and we'll find the waste — typically 20–40% of a bill — and hand you a prioritised plan to cut it.
Idle, orphaned & over-provisioned resources
Rightsizing compute — the single biggest source of cloud waste for most teams.
Storage optimisation
Object lifecycle policies, old snapshot cleanup, and cold-data tiering.
Commitment discounts
Reserved Instances, Savings Plans (AWS), and CUDs (GCP) you're buying but not fully utilising.
Dev/test scheduling
Non-production environments running 24/7 when they should turn off after hours.
Data-transfer & networking waste
Cross-region and cross-AZ traffic that adds up fast and is usually avoidable.
Tagging & cost-allocation gaps
Untagged resources you can't attribute — which means you can't optimise them.
A flat project fee agreed up-front. Predictable cost, clear deliverables, no surprises on the invoice.
Best for teams that want certainty
We take 15–25% of the savings realised over 12 months. You only pay from what we save you — zero up-front cost, zero risk if we don't deliver.
Zero risk — you pay from results
The audits and reviews surface the work. We deliver it — directly and through a vetted specialist network.
Assistants, chatbots, document processing, RAG over your knowledge base, agentic workflows, and automation.
The pipelines, integration, and data preparation that make AI actually work at scale.
Moving to and optimising AWS, Azure, and Google Cloud — architected for cost efficiency from day one.
Ongoing cloud cost management beyond the initial review — governance, tagging, and continuous rightsizing.
Connecting systems and automating workflows with an AI layer that removes manual toil.
Part-time strategic guidance for companies not yet ready for a full-time AI or cloud hire.
Let's figure it out together — the first call is free.
Book a free discovery call