Cloud Workspace
One place for documents, sources, correspondence and open items, with permissions that let a client, an adviser and an operational owner each see what they need.
Data, Cloud and AI
Technology is how we make advice repeatable instead of memorable.
Consulting has a delivery problem. The thinking is good, the report is read once, and six months later nobody can reconstruct why a decision was made. We use cloud workspaces, structured models and AI-assisted research so the reasoning stays available and the work can be re-run.
Capability
Six things we build into every engagement.
Document and Evidence Control
Versioned files, a document group structure, and an evidence index that makes an incomplete file visible before it becomes an incident at the border or the dock.
Cost and Scenario Modelling
Landed cost, margin, lead time and stock scenarios built as a model you can change and re-run, not a single number in a slide that ages the day it is delivered.
AI-Assisted Research and Drafting
Large document sets read and reconciled, regulatory and standards material tracked, translation between working languages, and first drafts prepared for human editing.
Dashboards and Scorecards
Pilot and operational metrics with stable definitions, so a conversion rate or an on-time figure means the same thing in month one and month twelve.
Workflow Automation
Repetitive checks, reminders, status collection and report assembly moved off people, so attention stays on the judgement calls that need it.
System View
An engagement is a set of connected records, not a folder of attachments.
Each element below is a working record with an owner and a date. A decision can be traced back to the evidence behind it, and an open item cannot quietly disappear because a thread went cold.
Client Brief
Source Register
Evidence File
Open-Item Log
Cost Model
Supplier Records
Gate Decisions
Scorecard
Who Uses It
Built for three different readers.
Client
See progress without asking for it: what is complete, what is waiting on you, which documents have landed, and what the next gate decision will require.
Advisory Team
Work against a single source register, keep the open-item log current, and produce reports that assemble from the records rather than from memory.
Operations
Hold a release against a defined condition, reconcile a shipment file, and code an exception to a source so the corrective action follows the real constraint.
Guardrails
How we use AI, and where we do not.
A person is accountable for every output
AI drafts, summarises, translates and cross-checks. It does not sign anything. Every statement that reaches a client has been read and accepted by the person whose name is on the report.
Sources are checked, not assumed
Where a regulatory or standards statement is made, the underlying source is opened and read. A confident summary is not treated as evidence, including a summary produced by our own tools.
Client material is handled deliberately
Confidential documents are handled under the terms agreed with you, including which tools may be used and which categories of material stay out of them entirely.
Judgement stays human
Whether to enter a market, hold a shipment, drop a supplier or commit capital is a management decision informed by evidence. We do not dress a model output up as a recommendation.
Enablement Work
We can also build this inside your business.
Several clients have asked us to set up the same working system for their own team rather than only for our engagement: the shared workspace, the document structure, the cost model, the reporting definitions and the automation around them. That is a defined piece of work with its own scope and handover, and it does not require you to keep us on afterwards.