laurencel.ai | AI for Business

legal advisor

private ai use case

Fed with your employment contracts, company policies, GDPR procedures, health and safety regs, NDA templates, supplier agreements and regulatory updates.

Your staff ask it things like:

"Can we terminate someone during their probation period without notice?"

"What are our obligations if an employee reports harassment?"

"Draft an NDA for a new supplier based on our standard template"

"What's our data retention policy for customer records?"

Not replacing a solicitor for complex matters. Replacing the 20 calls a year where you just needed a quick answer from someone who's read your own policies.

accountant

private ai use case

Fed with your financial policies, expense procedures, VAT thresholds, HMRC deadlines, approval limits, pension scheme details and mileage rates.

Your staff ask it things like:

"What's the current mileage rate for business travel?"

"Do I need a receipt for expenses under £25?"

"When's the next VAT return deadline?"

"What pension contribution does the company match up to?"

Finance teams spend hours answering the same questions every month. This handles the repetitive stuff so they can focus on actual financial management.

it support

private ai use case

Fed with your IT policies, password procedures, VPN setup guides, approved software list, BYOD policy, security incident procedures and common troubleshooting steps.

Your staff ask it things like:

"How do I reset my password out of hours?"

"My VPN isn't connecting. What should I check first?"

"I think I've clicked a phishing link. What do I do right now?"

"Am I allowed to install Zoom on my work laptop?"

The 24/7 first line that never gets frustrated and deflects 40-60% of IT tickets. Your real IT team focuses on the complex stuff.

marketing

private ai use case

Fed with your brand guidelines, tone of voice, previous campaigns, product descriptions, customer personas, competitor analysis and email templates.

Your staff ask it things like:

"Write a LinkedIn post announcing our new product launch in our brand voice"

"Create three subject lines for our monthly newsletter"

"Write a job ad for a senior engineer using our company tone"

"Draft an email to customers about our updated pricing"

Every piece of output sounds like your business, not like AI. Because it's been fed your voice, your style, your previous work.

sales

private ai use case

Fed with your product specs, pricing matrices, proposal templates, case studies, FAQ documents, competitor comparisons and objection handling guides.

Your staff ask it things like:

"What's our lead time on the 500-unit custom fabrication?"

"How does our warranty compare to [competitor]?"

"What case study should I reference for a food manufacturing client?"

"List our top 5 objections and the standard responses"

New sales staff become productive in days, not months. The AI knows every product, every price, every case study.

engineering

private ai use case

Fed with your technical specifications, material data sheets, quality procedures, ISO standards, lessons learned registers, equipment maintenance schedules and testing procedures.

Your staff ask it things like:

"What's the tensile strength of grade 316 stainless steel at 200°C?"

"Walk me through the quality inspection checklist"

"We had a similar issue on the [client] project last year. What was the fix?"

"Draft a non-conformance report for this issue"

Every lessons learned, every material spec, every quality procedure, searchable in natural language. An apprentice asks a question and gets the same answer a 30-year veteran would give.