Predictive Models
Scoring that drives an action, not a report.
- Churn and propensity models
- Lead and opportunity scoring
- Demand and revenue forecasting
AI & Data
AI Applied Where It Changes a Decision
A model that nobody acts on is an expensive dashboard. RASPSYS builds AI into the process that uses it, starting from the decision you want to improve.
What We Deliver
What We Deliver With Artificial Intelligence & Machine Learning
Our first question is what you will do differently when the model says something. If there is no answer, we stop there.
LLM Integration
Language models wired into real workflows with guardrails.
- Retrieval-augmented generation
- Document summarisation and drafting
- Prompt and output validation
Document Processing
Extracting structure from the paperwork that clogs a process.
- OCR and document classification
- Field extraction and validation
- Human-in-the-loop review
Salesforce Einstein
AI inside the CRM where the decisions already happen.
- Einstein prediction setup
- Agentforce configuration
- In-record guidance
Data Readiness
The part that decides whether any of it works.
- Data quality assessment
- Feature engineering
- Labelling strategy
Governance
Knowing why a model said what it said.
- Model monitoring and drift detection
- Bias and fairness review
- Audit trail for decisions
How We Work
Our Artificial Intelligence & Machine Learning Delivery Approach
A structured engagement model that de-risks delivery and gets working output into your team's hands early.
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Frame
We start from the decision to improve and what acting on it is worth.
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Assess
Honest review of whether your data can support the model.
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Build
Model development with a measurable baseline to beat.
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Embed
Deployed into the workflow that uses it, not a separate dashboard.
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Monitor
Drift detection and retraining, because models decay.
Not Sure AI Is the Right Answer?
Most engagements start with a short feasibility call. RASPSYS LLP will assess your data honestly before proposing anything.
Why RASPSYS
Why Clients Choose RASPSYS LLP for Artificial Intelligence & Machine Learning
We deliver for clients across the UK, US, UAE, Canada, and Australia - with teams that work in your time zone.
Decision-Led
If no process changes when the model fires, we will not build it.
Data-Honest
We assess data readiness first and say when it is not sufficient.
Global Delivery
Supporting clients across the UK, US, UAE, Canada and Australia.
FAQs
Frequently Asked Questions
The questions we are asked most often about Artificial Intelligence & Machine Learning.
That is the right first question and often the answer is no. Supervised models generally need thousands of labelled examples with genuine signal, not just volume. We run a data readiness assessment before any model work, and we would rather tell you to spend six months fixing data collection than build something that produces confident nonsense.
For most business problems, use what exists. Commercial LLMs and platform features like Einstein cover a great deal at a fraction of the cost of training your own. Custom models make sense where your data is genuinely proprietary and the decision is valuable enough to justify the investment and the ongoing maintenance.
Retrieval-augmented generation - the model answers only from documents you supply rather than its training data - plus output validation and clear citation of sources. For anything customer-facing or regulated we also recommend human review in the loop. Hallucination cannot be eliminated, only constrained and detected.
More than people expect, and ongoing. There is inference cost per request, monitoring, and periodic retraining as the world shifts beneath the model. We model the running cost alongside the build so the business case reflects year two, not just delivery.
Explore More
Related Services
Ready to Apply AI Where It Changes Something?
Book a free 30-minute call with a RASPSYS consultant.
We will look at the decision you want to improve and whether your data supports it.