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AI development & automation

Practical AI for your products and workflows

Build assistants, document search, and workflow tools around a specific business task. We can help you explore where AI fits, develop a focused prototype, and connect useful features to your existing systems.

Discuss an AI projectExplore AI use cases
Illustrative use cases

Where AI can help your business

Explore a practical scenario for your industry: the problem, the information involved, and what the AI would produce.

These scenarios describe projects we could explore together. Scope and feasibility depend on your systems and available information.

7 use cases shown

Retail

Product question assistant

Help shoppers explore product details using an approved catalogue and store policies.

The problem
Shoppers need to find product specifications and return information before deciding what to buy.
What you would get
A product answer with source links and a staff handoff when the information is incomplete.
See the workflow

Information needed

An approved product catalogue, product specifications, and current delivery and return policies.

How it could work

  1. Find catalogue entries and policy passages relevant to the shopper’s question.
  2. Draft an answer from those sources and link to the relevant products or policies.
  3. Flag missing or conflicting information for store staff to review.

Your team’s role

Store staff approve source content, resolve unanswered questions, and confirm any stock or order details.

Business goal

Aims to make product information easier to find and reduce repeated questions for staff.

Restaurants

Menu and reservation enquiry assistant

Answer menu questions and show reservation options from a connected booking system.

The problem
Guests ask about menu options, opening hours, and table availability across different channels.
What you would get
A sourced enquiry response with available booking options and a link or staff handoff to complete the reservation.
See the workflow

Information needed

An approved menu, opening hours, reservation rules, and read access to the booking system.

How it could work

  1. Identify the menu question or the guest’s requested date, time, and party size.
  2. Retrieve menu details and fetch any available reservation slots from the booking system.
  3. Prepare an answer and route allergy questions or booking exceptions to restaurant staff.

Your team’s role

Restaurant staff handle allergy questions and confirm reservations through their usual booking process.

Business goal

Aims to simplify routine guest enquiries while keeping reservation details tied to the booking system.

Real estate

Property enquiry matching

Suggest properties using the budget, location, and features a visitor chooses.

The problem
Visitors need a manageable shortlist from listings with different locations, prices, and features.
What you would get
A property shortlist with listing links and explanations based on the visitor’s selected criteria.
See the workflow

Information needed

Approved property listings and the visitor’s explicitly selected budget, location, and property preferences.

How it could work

  1. Collect the visitor’s chosen budget, locations, and required property features.
  2. Filter the listing catalogue using those stated preferences.
  3. Explain how each suggested property matches and flag details that need an agent’s confirmation.

Your team’s role

Agents verify listing details and availability and respond to viewing enquiries.

Business goal

Aims to help visitors explore relevant listings and prepare more specific enquiries.

Healthcare

Appointment information assistant

Help visitors find approved information about appointments and clinic administration.

The problem
Visitors need clear information about clinic hours, appointment booking, and administrative requirements.
What you would get
An administrative answer with source links and a clear route to contact the clinic.
See the workflow

Information needed

Approved clinic hours, service descriptions, booking instructions, and administrative FAQs.

How it could work

  1. Identify the administrative topic and retrieve the relevant clinic guidance.
  2. Prepare an answer with links to the approved source and booking instructions where relevant.
  3. Refer clinical questions or gaps in the guidance to clinic staff.

Your team’s role

Clinic staff maintain booking guidance and take over questions that need personal assistance or clinical expertise.

Business goal

Aims to make appointment information easier to find and organise routine administrative enquiries.

Education

Course material assistant

Help learners explore approved course material with explanations linked to the source.

The problem
Learners may struggle to locate the passage or example that explains a course topic.
What you would get
A study explanation with references and any unresolved questions for the teacher.
See the workflow

Information needed

Teacher-approved course notes, readings, lesson slides, and source references.

How it could work

  1. Search the approved material for passages relevant to the learner’s question.
  2. Draft an explanation using those passages and include page or source references.
  3. Flag questions the material does not answer for a teacher to address.

Your team’s role

Teachers approve course materials, review explanations, and address questions beyond the supplied content.

Business goal

Aims to help learners locate and understand the material provided for their course.

Energy

Maintenance record assistant

Search maintenance logs and prepare source-linked summaries for an engineer to review.

The problem
An asset’s maintenance history can be spread across logs, reports, and manuals.
What you would get
A referenced maintenance history summary and a list of points that need review.
See the workflow

Information needed

Approved maintenance logs, inspection reports, asset identifiers, and relevant manuals.

How it could work

  1. Find records linked to the asset and the engineer’s question.
  2. Draft a summary of recorded events with dates and links to the original entries.
  3. Highlight missing records or inconsistencies for the engineer to investigate.

Your team’s role

Qualified engineers verify the summary and make all maintenance and safety decisions.

Business goal

Aims to make existing maintenance records easier to locate and review.

Finance

Invoice extraction and review

Turn invoice documents into draft records that a finance team can check.

The problem
Invoice details often need to be copied from documents and checked against purchasing records.
What you would get
A draft invoice record with source references and review flags, ready for an approved export.
See the workflow

Information needed

Sample invoices, an approved supplier list, and purchase orders supplied for comparison.

How it could work

  1. Extract supplier details, invoice dates, line items, totals, and invoice numbers.
  2. Compare the extracted fields with the supplied records and flag missing or mismatched details.
  3. Present the draft record alongside the source document for a reviewer to correct and approve.

Your team’s role

Finance staff check the extracted details and approve records, exports, and payments.

Business goal

Aims to reduce manual copying and give reviewers a clearer view of details that need checking.

Discuss a similar project

Published AI case studies

Examples from other organizations, with links to their published stories.

Retail

Lowe’s

Mylow and Mylow Companion help shoppers and store associates ask product questions and find information for home improvement projects.

Read the case studyOpenAI customer story
Property management

AppFolio

Realm-X Messages suggests replies to residents using their history, existing maintenance tickets, and information about the property.

Read the case studyAnthropic customer story
Business document review

NRI

NRI uses AI to review business documents against checklists and past review examples, flagging potential issues and suggesting corrections.

Read the case studyAnthropic customer story

What we can build

AI assistants

Assistants that help customers or team members ask questions, draft responses, and navigate a defined task.

  • Instructions tailored to the task
  • Connections to selected tools and information
  • Handoffs to a person when needed

Search across business documents

Search and question-answering experiences built around the documents your team is allowed to access.

  • Document import and search
  • Source references for reviewing answers
  • Access rules and content update handling

Workflow automation

AI-assisted steps for repetitive work, such as extracting information, sorting requests, or preparing a draft for review.

  • Connections to existing business tools
  • Review and approval steps where needed
  • Error handling and a path for exceptions

AI features inside your product

Add search, summarization, or assistant features to an existing website, web application, or mobile app.

  • Interfaces that fit your product
  • Integration with your backend and user accounts
  • Usage monitoring and feedback collection

Start small, evaluate, then integrate

  1. Define one useful task

    We work through who will use the feature, what information it needs, and what a useful result looks like. Together we choose a small scope for a prototype.

  2. Test with realistic examples

    We use representative inputs to review answer quality, missing information, and failure cases. We also consider response time and usage cost before expanding the scope.

  3. Connect it to the workflow

    We plan the interface, data access, and integrations around your existing product or process, including human review, approvals, and fallback behavior where the task needs them.

  4. Review and improve

    Feedback from an initial rollout helps identify what to adjust. We can refine instructions, source content, and integrations, then evaluate changes against the agreed examples.

A useful first conversation

Bring one task you want to improve, a description of the tools involved, and a few representative examples you are permitted to share. We can use those to discuss feasibility, scope, and the next step.

  • Who will use the feature?
  • What information can it work with?
  • Which results need a person to review them?

Have a task in mind?

Tell us what your team needs to get done. We can explore a focused starting point for your AI project.

Discuss an AI project