AI and automationSIC 62090

AI that earns its keep.

Last reviewed 2026-06-17

Summary

Firms that contact an inbound lead within one hour are nearly 7 times more likely to qualify them than firms that wait longer (Harvard Business Review, Oldroyd et al. 2011). We build the automation that hits that window: WhatsApp auto-replies, lead routing, AI summaries, scheduled follow-ups. We measure before deploying, measure again after, and hand you the numbers.

A // What is in scope
  • 01Custom AI agents for customer-facing and internal use
  • 02Knowledge bases and document intelligence
  • 03WhatsApp, email, and web chat automation
  • 04Document processing: extraction, classification, and summarisation
  • 05RAG pipelines and vector search over your own data
  • 06Multi-step workflow automation connecting any combination of tools
  • 07AI integration into existing software products via API
  • 08Ongoing model evaluation and performance monitoring
B // Outcome

Automation with a measured baseline, a target, and a quarterly review.

ProviderNUVENAR LTD
SIC62090
RegionUnited Kingdom
C // Process

What happens
and in what order.

Same shape every time. You always know what is finished, what is in flight, and what is coming next.

  1. 01

    Workflow audit

    We map the processes your team currently runs manually. Time spent, error rate, volume. This tells us where automation pays.

  2. 02

    Baseline measurement

    Before any AI is deployed, we capture a baseline for the metric that matters: response time, conversion, cost per unit, error rate.

  3. 03

    Design and build

    We design the automation, build it, and test it against real data before it touches production. Every agent has an override and an audit log.

  4. 04

    Deploy and measure

    Deploy alongside the existing process. Compare against the baseline. Only once it is clearly better does it replace the old way.

  5. 05

    Quarterly review

    Every workflow has a primary metric and a quarterly review. If it has drifted or a better model is available, we update it.

D // AI and automation engagement
We tried two off-the-shelf chatbots before Nuvenar. Both got the answers wrong and the team had to keep rewriting prompts. Nuvenar built us a custom AI agent trained on our actual treatment menu and brand voice. It is the first one that has not embarrassed us in front of a client.
Sarah O'Donnell
Founder, Ridgeway Wellness
Med-spa / Dubai (UK-founded)
E // AI and automation FAQ

Common questions.

If the answer is not here, send the question to support@nuvenar.com. Replies inside one working day.

  • We pick per use case based on performance, cost, and the task. We are not locked to one vendor and we are not paid to recommend any of them.

  • Baseline first, then deploy, then re-measure. Every workflow has a single primary metric and a quarterly review. If it has drifted, we fix it.

  • No. We use vendor APIs with training disabled and run AI agents inside your own accounts wherever possible. Prompts and responses stay under your control.

  • Every agent has an override, a human escalation path, and an audit log. We design for the AI to be wrong some of the time and the system to catch it.

  • We work with what you have. Most automation connects to existing tools via API or webhook. Switching is sometimes the right answer, but we will tell you that honestly, not by default.

F // Two ways to start
L // Hire the team

Plan your first agent.

30-minute call with engineering. Scope, price, and timeline in writing within one working day. Automation with a measured baseline, a target, and a quarterly review.

R // Run NuvenarHub yourself first

Try Pro for 7 days.

Many services clients run NuvenarHub themselves first, then bring us in for custom integrations and enterprise scope. 7-day trial, card on file.

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