Skip to content

Practical AI

Agent library

Twelve agents for sales, support, operations, marketing and internal knowledge. Each one starts as a four to six week pilot against a single agreed metric.

By department and industry

The agents
we build.

Each of these starts as a pilot: four to six weeks, fixed price, one agreed metric. None of them goes live without an evaluation set and a human review queue. Showing 12 agents.

Filter by department

  • All agents
  • Sales
  • Support
  • Operations
  • Marketing
  • Internal knowledge
  • Industry

Filter by industry

  • Every industry
  • Cross-industry
  • Professional services
  • Property
  • E-commerce
  • Retail
  • Hospitality
Sales cross industry

Inbound lead qualifier

Reads the enquiry, enriches the company, scores it against your fit rules, drafts a reply and offers call slots. Low-scoring leads are routed, not binned.

  • ReadsWeb forms, shared inbox, HubSpot or Salesforce
  • Measured byTime to first reply; percentage of leads worked
Sales professional services

Proposal drafter

Builds a first draft from your rate card, scope library and past proposals. A human sets the price and signs it off — the agent never quotes.

  • ReadsRate card, past proposals, CRM opportunity
  • Measured byHours to first draft
Support cross industry

First-line support assistant

Answers from your documentation and order data. When it cannot, it escalates with a written summary so the human does not start from nothing.

  • ReadsHelp centre, order system, Zendesk or a shared inbox
  • Measured byTickets deflected; escalation quality
Support ecommerce

Returns and order status

Handles “where is my order” and returns eligibility end to end, with a hard limit on what it can approve without a person.

  • ReadsShopify or WooCommerce, carrier tracking
  • Measured byContacts per 100 orders
Operations cross industry

Document processing

Invoices, purchase orders, contracts and compliance forms: extracted, validated against your rules, posted to accounting or the ERP, flagged when unsure.

  • ReadsEmail, shared drive, Xero or the ERP
  • Measured byDocuments per hour; exception rate
Operations retail

Supplier and stock chaser

Watches purchase orders and stock levels, chases suppliers on a schedule, and summarises what is late and what it will affect.

  • ReadsERP or inventory system, supplier email
  • Measured byLate-line-item days
Marketing cross industry

Content pipeline EN/AR

Drafts, adapts and localises content into English and Arabic, then stages it for approval. It never publishes on its own.

  • ReadsBrand guide, CMS, past content
  • Measured byCost and time per published piece
Marketing cross industry

Reporting agent

Reads GA4, ad platforms and the CRM, then writes the monthly narrative: what moved, what it cost, and what it means. A human edits before it is sent.

  • ReadsGA4, Google Ads, Meta, HubSpot
  • Measured byHours spent on reporting
Internal knowledge cross industry

Company copilot

Answers questions over policies, SOPs, project history and Slack or Teams, with your permissions mirrored so nobody sees what they should not.

  • ReadsSharePoint or Drive, Slack or Teams, wiki
  • Measured bySearch time; onboarding ramp
Industry property

Viewings and listings assistant

Handles viewing requests, keeps listings consistent across portals, and answers tenant enquiries out of hours with a defined escalation path.

  • ReadsCRM, portal feeds, calendar
  • Measured byViewings booked out of hours
Industry professional services

Matter intake and summaries

Runs structured intake, checks for conflicts against your rules, and produces a matter summary for the fee earner to review.

  • ReadsIntake forms, practice management system
  • Measured byIntake time; summary acceptance rate
Industry hospitality

Reservations and enquiries

Takes reservations, answers venue questions, and handles amendments within limits you set, in English and Arabic.

  • ReadsBooking system, menus, venue FAQs
  • Measured byBookings captured outside staffed hours
Not on the list? Most of what we build is not. The library exists to show the shape of the work, not to limit it — the AI Opportunity Audit is what decides what actually gets built in your business.

Before any of them ship

What every agent
comes with.

Ships withWhat it means
Evaluation set50–200 real examples from your own records, with what a good response looks like. Yours, in your repository.
GuardrailsProhibited actions, spend limits and escalation triggers, agreed before the agent runs.
Human review queueThe agent drafts. A person approves. Autonomy expands only as evaluation scores earn it.
LoggingEvery output traceable to its inputs, including which model version produced it.
Named models and regionsWritten into the contract, so compliance can answer the question without calling us.
Handover optionTraining so your team can maintain the simpler agents without us.

Next step

Which of these would pay for itself first?

That is what the AI Opportunity Audit answers. Two to three weeks, fixed price, and you keep the document whatever you decide to do next.

back top