Custom development/AI applications & copilots
AI & connected operations

Put your knowledge to work.

Build useful AI into the experiences your customers and employees use. Connect approved knowledge, documents and business context to interfaces designed for the task.

SEE HOW THE TECHNOLOGY WORKS

Your knowledge. A useful answer.

Follow a question from trusted sources to an answer your team can inspect.

INTERACTIVE WORKFLOWIllustrative engineering scenario
01 / 03

Connect the sources

Select the documents, records and permissions the assistant can use. Freshness and access are part of the design.

Approved documents + access rulesA permission-aware knowledge collection
Read the complete workflow
  1. Connect the sources

    Select the documents, records and permissions the assistant can use. Freshness and access are part of the design.

    Approved documents + access rules → A permission-aware knowledge collection

  2. Retrieve the evidence

    Find relevant passages for the question. Keep the source attached so the answer can be checked.

    A customer or employee question → Relevant passages with source references

  3. Answer with context

    Present a grounded response, show the sources and hand off when the available evidence is not enough.

    Retrieved evidence + conversation context → A reviewable answer and a clear next step

WHERE THIS CAN HELP
01

Permission-aware enterprise knowledge search

02

Source-grounded support and product assistance

03

Document summaries inside your existing workflow

FROM INPUT TO USEFUL OUTPUT

Follow the work. Inspect the result.

Explore a proposed delivery workflow. Each step connects an activity to something your team can review.

WORKFLOW BLUEPRINTIllustrative delivery design
INPUTS TO DEFINE

Approved documents and source owners

User roles and access policies

Representative questions and expected evidence

REVIEWABLE OUTPUT

A governed source and access map

Identify authoritative sources, document owners and access rules. Define how changes, deletions and stale information reach the application.

Reviewed against agreed requirements
WHAT WE DEFINE AND DELIVER

Practical artifacts. A shared definition of done.

The exact scope follows discovery. These are the building blocks we discuss, specify and review together.

  • Knowledge assistants, RAG and AI search
  • Document extraction, summarisation and review
  • Voice, chat and embedded AI experiences
  • Source grounding, permissions and output evaluation
HOW THE PIECES CONNECT

Architecture with your operation in mind.

Source ingestion → retrieval/index → permission checks → model response → citations and review. The choice of model, retrieval method and hosting follows quality, privacy and cost requirements.

Designed around real constraints.

  • Grounding reduces unsupported answers but does not remove the need for evaluation or review of consequential decisions.
  • Existing access rules and source freshness must be preserved; a larger document collection alone does not establish answer quality.
FIND THE RIGHT STARTING POINT

A product where it fits. A custom build where it matters.

Connect knowledge to the task: an internal copilot, customer-facing assistant or AI feature inside an existing application.

Bring your objective and the people it should help. We will shape a first scope and the evidence needed to move forward.

Discuss this projectYour starting point is carried into an editable inquiry. Nothing is booked or provisioned by making this selection.
A CLEAR PATH THROUGH DELIVERY

One plan. Visible progress.

A complete build, a focused integration or specialists alongside your team. The engagement follows the scope—not a fixed team template.

  1. 01

    Discover

    Define users, the process, constraints and a useful first measure of success.

  2. 02

    Design

    Make the interface, architecture, data and integration decisions visible.

  3. 03

    Build & evaluate

    Deliver working increments and test the task, permissions and difficult cases.

  4. 04

    Release & evolve

    Agree rollout, recovery, handover and the people responsible for ongoing operation.

BEFORE YOU START

Good questions. Clear answers.

Should we use Echo or build a custom assistant?

Echo is a starting point for supported voice and chat workflows. A custom application fits when the interface, source permissions or operating process needs a distinct design.

Can the assistant take actions as well?

Actions are a separate integration scope. We define allowed tools, authorization, approvals and failure handling before connecting the assistant to business updates.

LET’S MAKE THE NEXT STEP USEFUL

Tell us what needs to work better.

Talk with our team

Explore with our AI guide, or reach the people who can scope the work.