Agents that keep the plan true, live.
Specialist agents re-forecast, chase POs, stage replenishment and draft markdowns against the same plan — most of it applies on its own, inside the limits you set.
The plan, turned into moves
The same ML that runs each surface now proposes real moves — gated by hard guardrails, tiered by risk, logged end to end.
Why agent leverage gives the week back to planning.
Full-price sell-through gap between retail leaders and the industry — most of it down to how reliably the plan stays current.
Source: Incisiv × WRC × Anaplan 2026
Share of unplanned markdown cost attributed to upstream decisions that didn't get made in time.
Source: Coresight industry research
Specialist agents re-forecast, chase POs, stage replenishment and draft markdowns inside the limits you set — day and night.
Source: Tightly
What breaks before AI agents run to plan.
Three steps from brief to an action you can audit.
A move off the live plan
The same ML that runs each planning surface reads the current model and proposes a concrete action — reorder, rebalance, chase, markdown — with the reasoning attached, never a free-text guess.
Every guardrail, fail-closed
Each action is scored against three risk tiers and checked against OTB headroom and days-of-cover. Within limits, it auto-runs; over the line — or anything unclassified — it holds for a human.
Approve, then it's logged
Held actions land in the inbox with the guardrail record. Nothing irreversible runs without a name on it — and every step, from proposal to sign-off, is written to the audit trail.
Your team's leverage, not your replacement.
Specialist agents re-forecast, chase POs, stage replenishment and draft markdowns against the same plan — most of it applies on its own, inside the limits you set.
What changes once agents keep the plan true.
Eight roles, one team
Planning, Buying, Merchandising, Demand, Supply, Markdown, Finance and Analytics agents specialise in the decisions a real team makes.
They propose, you approve
Every move comes with a one-line rationale, the numbers it touches, and an Apply button. The audit log captures who applied what and why.
Inside the limits you set
Routines define what an agent may do unattended (rebalance within ±5% of OTB, replenish below MOQ thresholds) and what needs a human.
Learn from your team's calls
Approved and rejected proposals tune the next batch. The team's judgment compounds; the agents get sharper.
Always on, always in policy
Every move an agent makes is within your limits and recorded in the audit log — you stay in charge of what ships.
Meet the agentsRe-forecast ready — 3 categories have drifted from plan this week. Want me to stage the moves for your review?
The copilots you have today, and the agents Tightly delivers.
Agents are one part of the connected plan.
Planning workspace
The shared workspace where agents propose, planners review, leadership approves.
The connected plan
Agents operate on one model — forecast, plan, OTB, allocation all coherent.
Demand forecasting
The Demand agent re-forecasts on live signal — flags drift before the plan slips.
Will agents commit a PO without me?
No. Every agent proposes; nothing commits without a human approval. The only exception is policy-locked moves (e.g. within-cover replenishment) and only if you opt in.
How do I set the policy bounds?
Per category × channel: margin floor, OTB envelope, reserve %, sign-off thresholds, pack constraints. Most teams configure once and revisit at cycle.
What's the audit log capture?
Every proposal, every override, every approval. Who, when, why, what changed. Exportable for CFO and compliance review.
Can different agents have different authority?
Yes. Demand agent might be approve-only; Replenishment agent might be auto-stage-then-approve. Configurable per agent and per organisation.
Your team's leverage. Specialist agents inside the limits you set.
There's nothing to rip out. Tightly runs on your existing ERP, EDI, e-commerce and POS. Give us 30 minutes and we'll show it on your own categories.