How it works

Slate in. Celia analyzes. Writeback out.

CeliaConnect is an AI intelligence layer that lives on top of Slate. It pulls anonymized data through your Slate Query Service, reasons on it with Claude, and writes the results back into every student's record as structured SS_CELIA_* fields. Your counselors work in Slate. Your data stays where it started.

A day in the work

What changes when Celia shows up.

The counselor is the same person. The workload is the same size. The difference is where the thinking happens.

Before CeliaConnect

Morning: open Slate. Scroll through 500 student records. Guess who to contact today.
Mid-day: chase the ten loudest students. Miss the quiet ones who are slipping.
Evening: no way to know if today’s work moved the needle.

With CeliaConnect

Morning: open Slate. Every student already has a Risk rating, a Recommendation, and three analyses written into their record overnight.
Mid-day: work the top 20 recommended actions. Every action is grounded in a specific signal, not a hunch.
Evening: see a measurable shift in yield probability for the students you touched. Tomorrow’s recommendations factor in today’s work.

Three structured analyses

Engagement. Readiness. Yield.

CeliaConnect answers three questions about every student, every day. Each answer is a structured JSON payload Celia writes back into a dedicated Slate field your counselors already know how to filter and report on.

Engagement

Is this student paying attention?

What it measures

Activity signals (logins, opens, clicks, form interactions)
Response cadence to counselor outreach
Last-touch quality (channel, content type, recency)
Channel mix (email, SMS, portal, in-person)

Output

Score 0–100 plus a ranked list of the signal drivers.

Slate field

SS_CELIA_ENGAGEMENT

{ score: 0-100, drivers: [...] }

What the counselor sees in Slate

The counselor opens the record in Slate and sees a score, a timestamp, and the drivers ordered by weight. Filter a list view on "Engagement < 40" to surface the quietly-disengaged pool in seconds.

Readiness

Is this student actually moving forward?

What it measures

Application completeness
Missing documents and checklist items
Days stalled in stage vs. your institutional baseline
Stage-transition velocity

Output

Score 0–100 plus an ordered checklist of what is missing.

Slate field

SS_CELIA_READINESS

{ score: 0-100, gaps: [...] }

What the counselor sees in Slate

The counselor sees a score and a ranked list of gaps — the specific item blocking progress, how long it has been open, and what the institutional baseline looks like. One click from "missing recommendation letter" to the outreach template.

Yield

Is this student going to enroll?

What it measures

Cohort and program baseline probability
Financial-aid package stage and timing
Historical conversion for similar profiles
Top contributing factors (positive and negative)

Output

Probability 0.00–1.00 plus the top factors driving the number.

Slate field

SS_CELIA_YIELD

{ probability: 0.00-1.00, factors: [...] }

What the counselor sees in Slate

The counselor sees a probability against the cohort baseline, with the three factors nudging it up or down. Aggregate yield across a list view rolls up into a funnel-level forecast the director can show the board.

Alongside the three analyses Celia also writes a Risk rating (low / medium / high / critical), the specific Risk Factors driving it, and a one-line Recommendation for the counselor's next action.

Examples

What a Celia run looks like the morning after.

Examples use anonymized data consistent with our no-PII architecture.

Engagement

Alex's Engagement dropped from 72 to 38 this week.

Driver: no email opens in 10 days, after a 6-week streak of same-day replies. Celia flags the drop and recommends a lightweight check-in before the drop becomes a disengagement.

Readiness

Jamie's Readiness is 45.

Gap: missing recommendation letter — 8 days overdue against an institutional baseline of 3. Celia recommends a nudge to the recommender, not to the student.

Yield

Morgan's Yield probability is 0.82.

Cohort baseline is 0.65. Boost factors: attended campus visit, financial-aid package accepted early. Celia recommends a light-touch hold strategy — this student is converting on their own.

Benefits by role

What every stakeholder gets out of CeliaConnect.

For enrollment VPs and directors

See the funnel moving, not just the funnel shape. Aggregate yield probability tells you what to expect 60 days out.
Know exactly where interventions work. Measure the counselors who move the needle vs. those who do not.
Answer the board’s "what is AI doing for us?" question with specific dollar-impact numbers from the Melt Cost Calculator.

For admissions counselors

No new tool to learn. Celia’s output lives in Slate fields you already use.
Stop guessing which student to call. Risk + Recommendation tell you.
Spend less time building Slate queries to find at-risk students. Celia already ranked them.

For IT & security

No new student PII leaves your environment. Celia’s architecture makes it impossible.
Per-tenant database isolation. No cross-customer data flow, ever.
Tamper-evident audit trail with hash-chain anchors. Every writeback provable.

For finance

Predictable pricing: a single monthly subscription per institution. No per-seat counting.
Add-on packs are opt-in and period-bounded.
One sub-processor invoice chain: Cloudflare, Anthropic, Stripe, email provider.

The architectural difference

Celia never sees a name.

This is the short version. For the full architectural boundary diagram, data lifecycle, and compliance posture, read the Security & Privacy page.

Join the waitlist

Be first in line when Celia opens.

Tell us about your institution and your Slate setup. We onboard waitlist members in order, one at a time, so every team gets a real human walkthrough — not a self-service trial that ends in frustration.

Join the Waitlist Talk to us first