Aiguro

Aiguro for Facilities

site and service costs nobody else is analysing

Turn site cost files and service contracts into cost and efficiency hypotheses across the site and service categories nobody else is analysing - energy, cleaning, security, fleet, travel. See a real hypothesis card built on an energy or services finding.

Request access tell us about your team and we will get in touch to set up your workspace.

Hypothesis card: Move all offices to the Leeds cleaning rate The worked hypothesis from the facilities sample workspace. Method PR-6 Price harmonization, potential EUR 21,000 to 32,000 (60-90% of the EUR 35,540 gap to the Leeds rate, after travel uplifts.), effort 1 of 5, complexity 2 of 5. Supported by cleaning-agreement-leeds.md, contradicted by cleaning-agreement-bristol.md on 'Sites switchable within 12 months'. Hypothesis In progress Move all offices to the Leeds cleaning rate METHOD PR-6 Price harmonization POTENTIAL EFFORT COMPLEXITY EUR 21k - 32k 60-90% of the EUR 35,540 gap to the Leeds rate, after travel uplifts. EVIDENCE Supports cleaning-agreement-leeds.md Contradicts cleaning-agreement-bristol.md challenges: Sites switchable within 12 months From site-costs-2025.csv Sample workspace, fictitious data

The problem

"Site and service costs are spread across a dozen categories and nobody owns analysing all of them."

"An office consolidation or sustainability target lands on us with no baseline to work from."

"Every cost-cutting round asks us for numbers we don't have time to pull together."

How it works

  1. Upload site cost files, service contracts.
  2. Findings Aiguro's discovery strategies surface energy, fleet and services signals from your documents, news and market events.
  3. Hypotheses findings become structured hypotheses with a method, potential, effort and evidence.
  4. Pipeline a pipeline of cost and efficiency levers ready to prioritise across sites and categories.
How Aiguro works Your business data, documents and market news feed scheduled discovery. Discovery turns them into findings, findings into hypotheses with a method, potential and evidence, and hypotheses into a prioritised pipeline of cost and efficiency levers. Underneath, a knowledge graph remembers every document, finding, decision and rejection, feeds that knowledge back into findings, hypotheses and the pipeline, and steers the next run. Your data Business data Documents News, markets Discovery Scheduled strategies analyse and cross-reference Findings Signals with evidence Hypotheses Method Potential Evidence Pipeline Prioritised Knowledge graph remembers every document, finding, decision and rejection remembered steers the next run

Proof

A worked example from the sample workspace: a site cost file and service contracts turn into an energy or services hypothesis with the contract clause attached as evidence.

Every hypothesis draws on the method catalogue, covering energy, fleet, building services and other site costs. Your data stays yours: one isolated database per team, EU hosting, no training on customer data.

Why not a chatbot

A generic AI assistant starts every conversation from zero. Aiguro remembers what your team uploaded, found, decided and rejected, connecting site cost files and service contracts in a knowledge graph - so a category already reviewed at one site is never re-proposed at another, and a new contract is automatically checked against what you already know.

Value compounds: in week one it looks like a good chatbot; by month three the graph is steering every new analysis and findings arrive without anyone asking. See the full picture on the comparison page.

A chat window forgets, the Aiguro workspace remembers Left: a generic AI assistant starts every session from zero and suggests the same idea again. Right: in an Aiguro workspace every document, finding, hypothesis and rejection is a node in a knowledge graph. One contract supports the hypothesis, another contradicts it, market news supports the finding it was derived from, and a rejected idea that is similar is not proposed again. Generic AI assistant MONDAY Have you tried renegotiating this contract? starts from zero NEXT WEEK Have you tried renegotiating this contract? starts from zero NEXT MONTH Have you tried renegotiating this contract? starts from zero Aiguro workspace Every item becomes a node; enrichment links them supports derived from derived from contradicts similar to supports Contract A Spend export Finding Market news Contract B Rejected idea Hypothesis Not proposed again - already rejected

Pricing

Small Team a flat monthly price, 3 users, 1 shared workspace. The learning plan for a facilities team piloting the tool, no seat maths.

Pro priced per user, minimum 3 seats, workspaces scale with seat count, includes SSO. Built for teams running energy, services and fleet across multiple sites.

Enterprise custom, sales-led, for company-wide rollouts, SSO enforcement and negotiated contracts. Includes the Valuedesk integration: connect Valuedesk and export hypotheses to it. Talk to sales.

AI usage runs on a monthly credit budget: 5,000 credits on Small Team, 2,000 credits per user on Pro, custom on Enterprise. Chat, discovery runs and document analysis draw on it in proportion to the AI work they do - a quick question costs a few credits, a deep discovery run more. When the budget is used up, AI features pause until the next billing period or an upgrade.

FAQ: seats and workspaces every user also gets a private default workspace that never counts against your quota; shared workspaces are what the quota limits.

Security and compliance

Every team gets its own isolated database - never a shared schema. Data is hosted in the EU, and nothing you upload is used to train models. Pro and Enterprise include SSO (Entra ID); role-based access controls who can see and edit each workspace. A standard Data Processing Agreement (GDPR Art. 28) is available for download, with the sub-processor list published alongside it.

One isolated database per team, hosted in the EU Every team gets its own database, never a shared schema, inside EU hosting, with SSO and role-based access. AI models answer requests from the workspace and are not trained on customer data. EU hosting Your team SSO, role-based access Own database Another team SSO, role-based access Own database Another team SSO, role-based access Own database AI models Answer requests from your workspace No training on your data

FAQ

Do I need an analyst on the team? No - upload what you already have (site cost files, service contracts) and Aiguro's discovery strategies do the first pass.

Does it cover every site cost category? It covers whatever documents and data you upload - energy, cleaning, security, fleet, travel, marketing and HR services are all common starting points.

What happens to our data if we cancel? It stays yours and visible during the read-only period after cancellation; nothing is deleted immediately.

Can we try it before committing? Request access and we will get in touch to find the right way to start with your own documents.