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Agentic AI & GenAI

Knowledge that answers and agents that act.

DATA & AI

Enterprise *agentic AI services* and GenAI

Build assistants that answer from authorised enterprise information, and task-focused agents that use approved tools to complete work. We connect retrieval, enterprise integrations, evaluation and human approval around a defined business process.

An assistant helps a person find or interpret information; an agent can take an approved action. Bounded autonomy means agreeing the tools, permissions, approval points and escalation conditions before that action is available.

Still deciding which use case deserves investment? Explore AI strategy & governance, or return to Data & AI.

What we deliver

Answers and actions, grounded in your business

Scope a production use case, not an open-ended autonomous system. Agree these outputs, limitations and acceptance gates before implementation.

01

Task agents & tool integration

Connect a defined task to approved enterprise tools and APIs.

  • Action and permission boundaries
  • Human approval for sensitive steps
  • Exceptions and completion records
02

RAG & knowledge assistants

Ground AI-generated answers in authorised enterprise sources using retrieval-augmented generation.

  • Permission-aware retrieval
  • Source citations and verification
  • Out-of-scope response behaviour
03

Document-to-workflow integration

Connect extracted fields or summaries to a reviewed business step.

  • Document and output boundaries
  • Validation before downstream use
  • Approval and exception handling
04

Evaluation & production controls

Define what must be tested, observed and owned in operation.

  • Representative evaluation tasks
  • Unsafe-action and failure testing
  • Release and operational handover
Illustrative workflows

Keep the task and its limits visible

These patterns show trigger, boundary and output. They are not client deployments; agree a success measure for the actual sources, users and systems.

01

Knowledge assistant

A user question retrieves authorised sources and returns a cited answer for verification.

  • Boundary - user permissions and source scope
  • Review - verify the answer against its citations
  • Measures to agree - grounded answer quality and time to find information
02

Document review

A document becomes extracted fields and a summary, then moves to human approval.

  • Boundary - no unreviewed downstream decision
  • Review - reconcile output with the document
  • Measures to agree - extraction accuracy and document review time
03

Task agent

A request becomes an approved API action, followed by logged completion or escalation.

  • Boundary - approved tools and action limits
  • Review - approval for sensitive actions
  • Measures to agree - correct task completion and task turnaround time
DELIVERY APPROACH

A practical route to production AI

Select, ground, evaluate and operate a defined workflow. Agree permissions, release evidence and operating responsibilities at each gate.

Software and reusable IP

Build with us or explore Linkfields software

Specialist services define and integrate the workflow. Proprietary software and reusable orchestration IP offer distinct routes where their scope fits.

textIQ

textIQ

Intelligent search and insight across unstructured enterprise content.

FinSight

FinSight

Conversational analysis and reporting over financial data.

EduPilot

EduPilot

Rapid course creation for education and corporate learning.

Agree fit and limits

Products are available by licence, subscription or SaaS, with or without services. An accelerator is reusable delivery IP, not automatically SaaS or included in every engagement.

BUYER QUESTIONS

Define a useful and bounded first scope

Use the first discussion to clarify scope, approvals and ownership. Explore our [engagement models](/company/our-approach#engagement-models) before agreeing the delivery route.

Let’s connect

Tell us about your enterprise AI use case

What happens next

  1. We route your enquiry to the relevant portfolio specialist.
  2. Where needed, we agree an NDA before you share confidential information.
  3. We clarify your priorities and agree the right next step with you.

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