Agentic AI Capability

Answers carry the cause, the trend and what comes next.

Some questions end at a figure. Many carry on: why it moved, how it compares with last year, where it lands next week, and who should read it on Monday morning.

ChatLimaLive data
Why did clear-to-build at Penang fall to 71% in week 28?
L

Four causes together account for 95% of the fall, and supplier confirmations moving later is the largest.

SAP S/4HANAplanning suitequality system
Answered from 3 systems, read in place
4
kinds of answer beyond the figure: history, cause, forecast, digest
product
0.60
confidence floor in the showcase estate, set by your team
showcase estate
78.4%
clear to build in week 39, inside the 76% to 79% range forecast
showcase estate
07:00
the time the Monday digest reaches each reader
showcase estate
Where this sits

Stage 3 of six: ask

Step by step

From one figure to a trend, a cause and a range

Four steps; each one rests on the rows a reader can open.

FROM ONE FIGURE TO A TREND, A CAUSE AND A RANGE01Answer the questionthe figure, with its rows, terms,sources and query02Set it against historythe same measure over the monthsyour sources hold03Suggest a causecandidates ranked by how much ofthe change each accounts for04Look a few weeks aheada range with its basis, checkedagainst what happensevery range is compared with the actual, and the record of hits is open to read
The four steps run over the same registered tables as a plain answer. The loop at the foot compares every range with what happened, so the record of accuracy belongs to you.

Clear to build is the share of a build plan that has every component on hand. When it falls, the useful question is why, and a useful answer names causes a person can act on this week.

Juno ranks candidate causes by how much of the change each one accounts for and attaches the rows behind each candidate. A reader agrees or disagrees with the evidence on the same screen as the claim.

Each candidate carries a confidence. Above the floor your team sets, the candidate appears with its rows. Below the floor, Juno says the evidence is thin and leaves the suggestion open, which is the honest answer more often than people expect.

Forecasts follow the same habit. A short forecast arrives as a range with its basis named, and Juno compares it with what happened, so the accuracy record sits beside the forecasts themselves.

How a cause is worked out

Six steps behind a ranked list of candidates

Six steps; the arithmetic is simple and every candidate keeps its rows.

1
Take the changeClear-to-build at Penang fell 7.2 points between week 27 and week 28.
7.2 points
2
List what could move itThe ontology names the inputs of the measure: requirements, stock on hand, receipts, supplier confirmations and quality holds.
5 inputs
3
Measure each inputEach input is held at its week-27 value in turn and the measure is worked out again, which gives the effect of that input alone.
5 runs
4
Rank by contributionThe input that moves the measure most is ranked first, with the rows that carry it attached to the claim.
4 candidates above the floor
5
Score the confidenceHow well the rows agree, how many lines support the pattern, and how steady it has been over the last eight weeks.
0.61 to 0.86
6
Hand it to a personThe reader opens the rows, agrees or adds a cause of their own, and the decision joins the record.
J. Ridley

The method is plain arithmetic over your own rows. Juno holds each input of the measure at its earlier value in turn and works the measure out again. The gap that opens is the effect of that input alone.

That keeps the suggestion checkable. A planner who disagrees opens the 18 components whose confirmed dates moved and reads them, one line at a time.

Where a suggestion stays open

Below the confidence floor, Juno states that the evidence is thin and names what would settle it: more weeks of history, a source carrying inspection results, or a confirmed mapping for one column.

A reader can add a cause of their own with a sentence. The addition joins the record and teaches the next ranking.

The measure definition travels with the answer, so two people reading the same cause read the same arithmetic.

The Monday digest

A saved line of questions, run to a clock and sent to a reader

One saved line of questions reaches five readers, each with their own rows.

Monday 07:00 · weekly digest · J. Ridley · supply chain director
What movedThis weekAgainst last weekWhat Juno suggests reading next
On-time in full94.1%+0.7 ptsNorthbay Logistics holds 36 of the 84 late lines
Clear to build, Penang78.4%+1.1 ptsinside the range forecast last Monday
Days of supply, controllers24 days+3 daysone day above the range forecast last Monday
Open lines past due21231 fewerDelta Fasteners carries 36 of them
Excess above six months$6.40M$0.21M morea transfer to Dresden would move $349,300

A digest is a walkthrough on a schedule. The questions stay fixed, the figures move, and Juno adds the comparison and the line worth reading next. J. Ridley receives the company view at 07:00 on Monday.

Each reader receives their own. A plant manager reads their plant, a buyer reads their categories, a finance lead reads value by business unit, because every digest runs with the access of the person it is addressed to.

Alerts work the same way between digests. A rule stated in plain language watches one measure, and the alert reaches the person who owns it with the rows attached.

A digest is the point where ChatLima meets the working week: the reader opens the item that moved, asks a follow-up in the same thread, and keeps going.

The running example

Monday 07:00 in week 39: the digest that closed the loop

Showcase estate.

The running example

Four weeks after the first questions, the Monday digest reached J. Ridley at 07:00. Clear to build at Penang stood at 78.4%, inside the 76% to 79% range Juno had forecast the week before, and on-time in full stood at 94.1%.

Two lines asked to be opened. Days of supply for the controllers came in one day above its range, and excess above six months had risen by $0.21M. J. Ridley opened the second line, read the three items Dresden had requisitions for, and sent the transfer question to L. Tan before the morning meeting.

Next capability

ChatLima where people already work

The ChatLima screen, Teams and Slack, SmartApps, the API and the reporting connector, with one set of access rules and one record across all of them.

Terms on this page
Clear to buildThe share of a build plan that has every component on hand.
Candidate causeOne input Juno tested, with the share of the change it accounts for.
ContributionHow much of a change one input accounts for, measured by holding the others steady.
Confidence floorThe score below which Juno leaves a suggestion open and says the evidence is thin.
Short forecastA range for a measure a few weeks ahead, with the basis it was drawn from.
Weekly digestA saved line of questions run to a clock, with the answers sent to a reader.
Questions
How far back can a comparison reach?

As far as the registered sources hold. Where a source keeps a short history, Quanta lands a governed copy in your lake and the comparison reads it there under the same access rules.

Does this replace a planning system?

It is a short look ahead over the same registered rows, useful between planning runs. The published plan stays the plan, and every forecast names the inputs it read.

What happens when the evidence is thin?

Juno says so and leaves the suggestion open, naming what would settle it: more weeks of history, a source carrying inspection results, or a confirmed mapping for one column.

Are the forecasts checked afterwards?

Yes. Each range is compared with what happened when the period closes, and the record per measure is open to read. That record also tunes the next range.

Who can receive a digest?

Anyone with a Juno login. Each digest runs with the reader’s own access, so a plant manager reads their plant and a director reads the company.

In the platform

Where Juno sits among the four capabilities

Each one builds on the one before it.

One shared foundationCatalogLineageAccess policyWrite path

See Juno answer and act on your own data

Bring two systems and one decision your planners make every week. In the first week we register the data, confirm the mapping with your team, answer your questions in ChatLima and run the first agent at the level you choose.