A busy product faces a stock risk
Sales are healthy, but supplier costs rose and stock cover has fallen to about 2.5 days.
OASYS Organisation · Human-centred decision support
See what needs your attention before you open six different tabs.
OASYS turns approved commercial and operational information into a personalised Morning Brief. It shows what changed, what needs attention, what evidence supports it and which decisions are waiting for you.
AI prepares. Humans decide. Evidence stays traceable.
OASYS reduces the time spent assembling information so managers can spend more time applying judgement, coordinating action and owning the decision.
At a glance · a fictional example
From scattered signals to a decision in one Morning Brief.
Imagine Morgan manages an online retailer. These figures and people are invented to demonstrate the method, not to describe your company or role.
The exception and its evidence
The brief compares targets with current figures and links the warning to its source and threshold.
The manager chooses the action
Review the promotion, replenish stock or accept the risk. OASYS prepares the evidence; it does not decide.
How OASYS works
Four clear steps from scattered information to a decision-ready brief.
Bring together approved context
Start with the role, decision rights, operating rhythm, current evidence and, where useful, the organisation's targets, budget or forecast.
Standardise and check freshness
Definitions, dates, ownership, cadence and source confidence are made explicit before interpretation.
Compare plan with reality
OASYS surfaces meaningful variance and defined exceptions while preserving the evidence trail.
Human decides
The Morning Brief frames attention and evidence. The manager owns the decision.
OASYS does not need to invent a prediction to be useful. It can compare what the organisation said should happen with what is actually happening. If evidence is incomplete, stale or contradictory, the dashboard surfaces that uncertainty rather than inventing an answer. Important information and actions should remain within three interactions of the main dashboard.
TRY IT YOURSELF · FICTIONAL EXAMPLE
Meet Morgan, an invented ecommerce manager. Click a different role below to see how a Morning Brief might change. These are not your details, your job or live company data.
OASYS Dashboard · Fictional interactive example
Morgan’s example Morning Brief
Ecommerce / Commercial Manager
Explore fictional roles:
Morning Brief
Revenue is ahead of the comparable day, but margin and stock cover on a fast-selling SKU need attention.
Plan vs actual View targets and variance
Plan vs actual
Today's revenue plan
Plan£15,900
Actual£16,427
Variance+3.3%
Revenue is ahead of plan, but margin and stock-cover exceptions still require attention.
Performance metrics View the key numbers
Needs your attention Exceptions and decisions
Evidence-backed exception
Margin + stock pressure on SKU-104
Supplier unit cost increased while the product remains a strong seller and available cover is below four days.
Why now: stock cover is below the defined threshold while unit cost has changed in the current trading period.
- Observed
- Unit cost £18.40 → £21.80; 373 available units; 151 average units/day.
- Calculation
- 373 ÷ 151 = 2.5 days stock cover.
- Source
- Cost export + inventory snapshot + commercial transactions.
- Boundary
- Promotion is active, but this evidence does not prove it caused the stock issue.
- Decision authority
Decision waiting
Decision for Morgan
Review promotion, accept the stockout risk, or investigate expedited replenishment / revised supplier terms.
Decision owner: Morgan · Commercial Manager
You decide. OASYS prepares the evidence.
Workspace examples Emails, calendar and files
Workspace shortcuts
Move from insight to the next piece of work.
Fictional example only. Names, messages and numbers are invented. Sample answers are prewritten; this page does not connect to, read from or send anything through your email, calendar or external systems.
Evidence trail Where the figures came from
Evidence trail
Important claims stay linked to their source and operating period.
Why OASYS exists
The problem is not a lack of data. It is the effort required to assemble a trustworthy operating picture.
Managers often begin the day moving between commerce platforms, stock systems, finance reports, spreadsheets, campaign dashboards, messages and internal documents. That assembly work is not the manager's highest-value contribution. Their value is judgement: prioritising, challenging assumptions, coordinating people and making accountable decisions. OASYS reduces the assembly burden so that judgement can be applied sooner, with a clearer evidence trail.
Your dashboard
Built around decisions, not another wall of charts.
Morning Summary
The operating picture in plain language.
Plan vs Actual
Compare approved targets, budgets or forecasts with current reality and surface material variance.
Evidence-backed Exceptions
Material conditions triggered by defined rules.
Decisions Waiting
Questions that require human judgement.
Data Confidence & Provenance
Trace important claims back to their source.
Ask OASYS
Find a metric, source or fact without hunting through the underlying systems.
Design Partner Validation
Help us pressure-test the dashboard.
OASYS Organisation is currently being validated with ecommerce and commercial managers. We start with a short personalised prototype using demonstration data. If the dashboard helps the manager orient faster, identify a real exception or make a better-supported decision, the next gate is a controlled own-data test.
Role-specific onboarding:
Send the role or job description and we will shape the first prototype around that manager's responsibilities, recurring decisions, decision rights, approval limits, operating rhythm, metric definitions, exception thresholds and approved information sources. Where relevant, approved targets, budgets or forecasts can be added so the dashboard can show plan vs actual. The manager reviews and tweaks the prototype before any own-data test.
1
Prototype test20 minutes · demonstration data · no preparation
2
Own-data testControlled exports · agreed definitions · real operating question
3
Paid pilotOnly if the own-data test proves useful
No forced rollout. Each step earns the next one.
Trust boundary
Useful AI, with clear limits on what it knows and what it is allowed to do.
Start with controlled information.
The first test uses agreed exports rather than giving OASYS broad access to your live systems.
No system credentials for the first test.
We begin with controlled exports, so you do not need to connect live systems just to find out whether the dashboard is useful.
Compare against your own plan.
Targets, budgets and forecasts remain organisation-defined inputs. OASYS shows variance; it should not quietly rewrite the target.
See where a claim came from.
Important conclusions keep a route back to the approved source and calculation.
The human stays accountable.
At Level 1, OASYS prepares the operating picture. The manager decides what to do.
Evidence boundary: OASYS distinguishes what the data shows, what it reasonably suggests and what is still unknown. If the evidence cannot support a conclusion, the dashboard should say so.
Start small
Start with one decision-ready Morning Brief.
If you currently stitch together commercial or ecommerce information from several systems before you can decide what needs attention, pressure-test OASYS with us. Twenty minutes is enough to tell us whether the idea deserves the next step.