Too much time spent searching for information
Teams lose time looking through policies, SOPs, supplier documents, spreadsheets and inboxes.
SERVICE
AI Agents for
FMCG businesses
We design and build AI agents that handle repetitive work, answer business questions, process documents and move work between systems.
- Built around your workflows
- Integrated with your tools and data
- Secure, controlled and measurable
Useful for:
Operations
Supply Chain
Finance
Customer Service
HR
IT & SystemsWhat are AI agents?
AI agents are task-focused assistants that can read information, follow business rules, interact with systems and support your team with repeatable work.
For FMCG businesses, that might mean summarising supplier documents, answering internal process questions, preparing reports, triaging customer messages or helping teams move work between tools.
Best used when:
- Work is repeatable and rule-based
- Information is spread across documents or systems
- Teams ask the same questions regularly
- People are manually reviewing, copying or summarising information
- You need control, permissions and human review
Common problems AI agents can help with
Repeatable admin slows down skilled people
Staff spend time reviewing, summarising, copying and chasing information instead of acting on it.
Knowledge is spread across systems and people
Important answers sit in documents, email chains or individual team members' heads.
AI usage needs structure and control
Businesses want the benefits of AI without uncontrolled tool use, data risk or inconsistent outputs.
Example AI agents we can build
Internal knowledge assistant
Answers questions using your policies, SOPs and internal documents.
Operations / All teams
Supplier document assistant
Extracts key terms, flags changes and prepares summaries for review.
Procurement / Supply Chain
Customer service assistant
Drafts responses, finds information and helps triage enquiries.
Customer Service
Reporting assistant
Pulls data, builds reports and explains key insights on demand.
Finance / Leadership
Operations support agent
Tracks updates, flags exceptions and helps teams take action.
Operations
Compliance & policy assistant
Helps teams find policy information and stay compliant.
Quality & Compliance
How we deliver AI agents
1. Map the workflow
We understand the task, users, systems, data and decision points.
2. Define the guardrails
We agree what the agent can access, what it can do, and when humans review outputs.
3. Build and test
We create the agent, connect relevant data and test it against real business scenarios.
4. Roll out and improve
We train users, monitor usage and improve the agent over time.
Built with control from day one
We design every agent with security, governance and human oversight at the core.
- Access controls and role-based permissions
- Approved data sources and boundaries
- Human review for sensitive actions
- Audit logs and full traceability
- Clear scope and boundaries for each agent
- Secure deployment options
- Ongoing monitoring and optimisation
Example: supplier document review
Before
A procurement team manually reviews supplier contracts, searches for changes, compares details and prepares a summary for review.
After
An AI agent extracts key details, highlights changes, compares against historic information and prepares a structured summary for a team member to approve.
Outcome
- • Faster document review
- • Fewer missed changes
- • More consistent summaries
- • Human approval remains in control
Works well with
Relevant departments
Frequently asked questions
How long does it take to build an AI agent?
Simple pilots can often be designed and built quickly once the workflow, data sources and guardrails are clear. More complex agents with integrations or approval workflows take longer.
Do we need clean data first?
Not always. We can start with the documents, systems and processes you already have, then identify where data quality needs improving.
Can it work with our existing systems?
Yes. We design agents around your existing tools, documents and workflows wherever possible.
Can users review outputs before anything happens?
Yes. Human review can be built into the workflow, especially for sensitive decisions, customer communication or system updates.
Is our business data secure?
Security, permissions and data boundaries are defined at the start of the project. We design agents with controlled access and clear governance.
Can we start with one small use case?
Yes. In many cases, the best approach is to start with one repeatable process, prove value, then expand from there.
Have a repeatable process
that could work better?
Tell us what your team is spending too much time on. We'll help you work out whether an AI agent, automation or reporting tool is the right fit.
