GoTo.

AI practice

Artificial Intelligence

AI adopted with governance in place, rather than as an experiment nobody owns.
Practice area
Digital Transformation
Answers the problem
Our organisation is inefficient. We do not know what to do next.
Frameworks applied
GoTo AI Navigator™, GoTo Trust Framework™, GoTo Academy™
Commercial model
Fixed price by default
01Overview

What this practice is for.

AI is embedded into marketing, operations and organisational communication rather than sold as a bolt-on. The firm advises on AI adoption and governance and applies the same governance to its own work, on the principle that a firm which cannot demonstrate its own data governance cannot credibly sell it.

How GoTo builds AI responsibly
Index only content the organisation owns. Use retrieval over approved sources rather than fine-tuning, so every answer can show its sources. Configure the assistant to refuse rather than guess, and test that it does. Log every query. Record the tool, the provider, the data location and the no-training commitment on the supplier register. Name a human owner for the assistant’s output. The tool is never the accountable party.
02Services

Scope and deliverables, stated.

Every quote states deliverables, assumptions, exclusions, the payment schedule and a validity period.
01

Assess and plan

AI Readiness Assessment

AI maturity score, opportunity and risk assessment, governance recommendations and an implementation roadmap.

AI Strategy

AI vision, priority use cases, governance framework, skills assessment, technology recommendations and investment roadmap.

AI Governance

AI policy, risk management, data governance, ethical AI guidelines, staff awareness and a compliance framework.

02

Build

AI Assistant Development

Customer support, human resources, knowledge, marketing, executive and student support assistants, built on retrieval over approved content with citations on every answer.

Retrieval-based knowledge systems

Embeddings and vector search sized to the content volume, over an approved and owned corpus, with query logging that becomes the content roadmap.

Prompt engineering

Documented prompts held under version control, with a stated business objective, a user guide and a performance review.

Workflow automation

Automation of repetitive administrative and reporting work, scoped from a process map rather than from a tool.

03

Enable

AI Training

AI fundamentals, prompt engineering, AI for marketing, human resources and communications, and responsible AI practice.

Responsible AI practice

Acceptable use, disclosure standards, human review points and the escalation route when an assistant is wrong in public.

Executive AI advisory

Standing counsel for leadership teams that must hold an AI position in front of a board, council or funder.

03Method

How the work is actually run.

  1. 01
    Discover where work is repetitive, slow or knowledge-bound.
  2. 02
    Evaluate readiness, data, capability and appetite before choosing a use case.
  3. 03
    Prioritise one narrow use case with a measurable baseline.
  4. 04
    Design on retrieval over approved sources, with a named human owner.
  5. 05
    Implement, then test that the assistant refuses rather than guesses.
  6. 06
    Govern with a policy, a risk register and a supplier register.
  7. 07
    Optimise using the query log, which is the cheapest content roadmap available.

Expected outcomes

An AI position that survives a governance committee.
One production use case with a stated business objective and a measured baseline.
Every answer traceable to an approved source.
Staff trained, with a training record.
Measured, not asserted
Success measures are agreed at the Define stage, stated with their source and a date, and reported against on a fixed rhythm. The client is never asked at the end to accept a new definition of success.
04Applied here

The frameworks and sectors this practice touches.

05Common questions

Asked before most engagements begin.

All practice areas
Marketing and CommunicationsDigital TransformationAutomationKnowledge and Information Management

Book a Discovery Session

The most useful first step is a discovery conversation.

A structured session that produces a written problem statement, whether or not it leads to an engagement. If the problem is not one we should be paid to solve, we will say so.

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