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Neuralex Labs

Solution · Assistants inside your tools

An assistant in the tools your team already uses.

AI copilots help people work faster by drafting, summarising, and finding information inside their existing applications — grounded in company data and always leaving the final decision to the user.

Explore a copilot for your teamHow we build it

What it is

Assistance, not autonomy

A copilot works alongside a person. It sees the record, ticket, or document the user is working on and offers help: a summary, a draft, an answer with sources, or a suggested next step.

Because the user decides what to accept, copilots are often the fastest and lowest-risk way to bring AI into a team or product.

Capabilities

What it can do

Summarise

Condense long records, threads, and documents.

Draft

Prepare replies, notes, and documents for editing.

Answer with sources

Respond to questions with links to internal sources.

Suggest next steps

Recommend actions based on context and policy.

Fill forms

Pre-populate fields from available information.

Respect permissions

Only use data the user can already see.

In practice

Common patterns

Support reply assist

Draft responses while an agent works a ticket.

  1. 01Open ticket
  2. 02Retrieve history
  3. 03Find relevant articles
  4. 04Draft reply
  5. 05Agent edits and sends

Account briefing

Prepare before a client call.

  1. 01Select account
  2. 02Gather activity
  3. 03Summarise open items
  4. 04Suggest talking points
  5. 05User reviews

Policy questions

Answer internal questions with sources.

  1. 01Ask question
  2. 02Check permissions
  3. 03Retrieve policy
  4. 04Answer with citation
  5. 05User verifies

Human in the loop

Control when it matters.

Autonomy is earned task by task. These controls are part of every deployment.

  • User confirms every action
  • Permissions inherited from source systems
  • Citations for internal information
  • Feedback captured for improvement
  • Clear labelling of AI-generated content

Honest fit

Where it works — and where it doesn't yet

Good fit

  • Knowledge-heavy roles with frequent lookups
  • Products where users need guidance
  • Writing-heavy workflows
  • Teams cautious about AI acting on its own

Not the right starting point

  • Work that could be fully automated with low risk
  • Very small teams with little repeated work

How we deliver it

Services behind this solution

Service

AI Copilots

We build AI assistants embedded in your internal tools and products — grounded in your data, aware of the user's context, and designed to speed people up rather than replace their judgment.

Service

RAG & Knowledge Systems

We build retrieval-augmented generation systems that search your documents, wikis, tickets, and databases, then answer questions with citations — respecting who is allowed to see what.

Service

SaaS Product Development

We help founders and product teams build multi-tenant SaaS platforms — with billing, permissions, onboarding, and AI features designed together from the first sprint.

FAQ

Frequently asked questions

01Copilot or AI employee — which should we start with?

Start with a copilot when people need to stay in every decision or when trust in AI is still being built. Start with an AI employee when work is repetitive enough to delegate with supervision.

02Can a copilot be added to our product for our customers?

Yes. We build copilots into SaaS products with tenant isolation, cost tracking, and usage limits.

Related solutions

Explore further

Answers from your knowledge

RAG & Knowledge Systems

Knowledge systems search across your documents, wikis, tickets, and databases and answer questions with citations, so people and AI employees can rely on what your business already knows.

Software with AI built in

AI-Powered Software

We build complete applications — web apps, platforms, and internal tools — where AI features are part of the architecture, the data model, and the user experience rather than an add-on.

Role-based digital workers

AI Employees

An AI employee is a supervised digital worker designed around a specific business function. It understands context, uses approved tools, completes tasks, and escalates decisions that need human judgment.

Next step

Bring us the process your team is tired of doing manually.

A strategy call is a working conversation about one workflow: what it involves today, what could be automated, and what a first build would look like.

Explore a copilot for your teamSee how we work

What happens next

  1. 1Tell us about one workflow
  2. 2We review it before replying
  3. 3A working session, then a first-build proposal