Don't start with the model. Start with the problem.
We help teams identify where AI can reduce manual work, improve customer experience, accelerate decisions or create new product capabilities.
Most AI projects fail for an unglamorous reason: they start from a capability somebody wanted to use rather than a cost somebody wanted to remove. We work the other way round — and we will tell you when the answer is that you do not need AI for this at all.
Where teams usually start
These are the eight that come up most often. Each one is a business problem before it is a technical one.
AI customer-support agents
Resolve the repetitive half of your ticket volume, and hand the rest to a human with context attached.
Internal knowledge assistants
Let teams ask questions of your own documentation, policies and history instead of hunting through drives.
Document intelligence and extraction
Turn invoices, contracts, forms and scans into structured data your systems can act on.
Sales and operations automation
Remove the manual steps between a lead, a quote, an approval and a fulfilled order.
AI copilots inside existing products
Add assistance where your users already work, so the feature raises retention rather than sitting unused.
Workflow agents and system orchestration
Agents that carry a task across several systems and escalate when they should not decide alone.
RAG and enterprise knowledge systems
Retrieval grounded in your data, with citations, permissions and evaluation built in from the start.
Predictive analytics and machine learning
Forecast demand, score risk and flag anomalies using the data you already collect.
Audit, pilot, production
Three stages, each with a decision point at the end. You are never asked to commit to the whole thing on the strength of stage one.
Audit
Map every workflow where AI could plausibly pay off, assessed against the data you actually have. The output is a ranked list, including what we recommend against.
Product & AI AuditPilot
Take the top candidate and make it work on real data, used by real people, with success defined before we start.
30-Day BuildProduction
Harden what the pilot proved: evaluation sets, monitoring, permissions, cost controls and the integration work that makes it part of the business.
AI & AutomationOne opportunity worth looking at
Specific to each sector, because “AI for healthcare” tells a buyer nothing.
HealthTech
Triage and intake summarisation, so clinicians spend their time on the cases that need judgement.
See HealthTech work →RealTech
Document intelligence across agreements and approvals, and assisted valuation from comparable transactions.
See RealTech work →EduTech
Assessment generation and per-student progress summaries that give teachers time back rather than more dashboards.
See EduTech work →FinTech
Onboarding document extraction, anomaly detection on transactions, and support agents that respect compliance boundaries.
See FinTech work →E-commerce
Catalogue enrichment at scale, search that understands intent, and support agents that resolve order questions end to end.
See E-commerce work →SaaS & Startups
An in-product copilot where your users already work, and internal agents that absorb repetitive onboarding and support load.
See SaaS & Startups work →AI FAQ
Tell us where your team loses the most time. We will tell you whether AI is the right instrument for it — and what it would take.