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AI integrations, assistants and automated workflows

AI agents and business automation

We focus on narrow, useful applications of AI rather than adding a generic chatbot to every process. A solution can answer questions from approved business knowledge, qualify an enquiry, prepare information, handle documents or coordinate routine system actions—with permissions, monitoring and human handoff designed into the workflow.

Scope

What we can help with

The final proposal includes only the areas relevant to the project, with quantities, integrations and responsibilities written down.

01

Customer and sales assistants

Assistants designed around a specific customer journey, with approved answers, lead capture and a route to a person when needed.

  • Website and service enquiry assistants
  • Lead qualification and information collection
  • Appointment, order or request guidance
  • Human handoff with relevant conversation context
02

Knowledge and document workflows

Tools that help staff find, summarize or prepare information from an agreed set of documents and business sources.

  • Internal policy and process assistants
  • Document classification and information extraction
  • Drafting and summarization with review steps
  • Retrieval from approved knowledge sources
03

Workflow and system automation

Rule-based and AI-assisted flows that move routine work between forms, inboxes, CRMs, spreadsheets and operational systems.

  • Enquiry routing and follow-up preparation
  • Notifications, approvals and record updates
  • API-driven actions across connected tools
  • Scheduled checks and exception handling
04

Evaluation, controls and ongoing operation

The less visible work required to make an AI workflow dependable enough for its intended business use.

  • Access rules and sensitive-data boundaries
  • Test cases and response-quality evaluation
  • Usage, error and handoff monitoring
  • Model, API and knowledge-base maintenance

Typical project coverage

A complete scope, not an open-ended list.

Exact deliverables vary, but a proposal for this service will usually address the following areas where they apply.

  • 01Use-case and risk assessment
  • 02Conversation or workflow design
  • 03Knowledge-source and integration plan
  • 04Assistant, retrieval and automation implementation
  • 05Permissions, fallbacks and human handoff
  • 06Evaluation, logging and deployment setup
  • 07Usage guidance and an optional improvement plan

How we approach it

Decisions made in the right order.

01

Automate a defined job

The project begins with a measurable task and clear boundaries, not with a model or an “AI everywhere” objective.

02

Keep people in control

High-impact decisions, uncertain answers and exceptions are designed to reach an appropriate person for review.

03

Measure before expanding

Accuracy, handoffs, time saved and failure cases are reviewed before the workflow is extended to more users or actions.

Common questions

Useful details before we talk.

Is an AI assistant the same as a standard website chatbot?

Not necessarily. A business-specific assistant can use approved knowledge, collect structured information and call agreed tools. The capabilities depend on the use case, data and controls included.

Will AI replace our customer-support team?

The goal is usually to handle repetitive requests and prepare context so people can focus on exceptions and higher-value conversations. Human handoff remains an important part of the design.

What costs sit outside development?

Model usage, messaging providers, vector databases, automation platforms and other third-party services may charge separately. Expected usage and provider costs are identified during scoping.

Start with a short conversation

Tell us what needs to work better.

We will review the requirement and suggest a practical first step.

Send an enquiry