drootAI that sits inside the work, not beside it.
We find where AI pays back, ground it in your own records, and wrap it in the permissions, approvals and audit trails leadership expects.
Our point of view
AI earns trust when every answer can be traced and every change can be undone.
Starts fromDroot AIAnswers linked to source records · changes you approve · every change undoable
i.GroundedAnswers link to the records they came from.
ii.Permission-awareRespects every role, permission and company boundary.
iii.Human-approvedChanges arrive as proposals a person reviews and applies.
iv.ReversibleEvery applied change can be undone.
In practice
An answer you can audit, a change you approve.
Droot AI traces an order across sales, delivery and production, finds where it is stuck, and proposes a fix. Nothing changes until a person applies it.
Trace SO/2026/00405 for Shivalik Agro Foods. Where is it stuck?
Sales order SO/2026/00405ApprovedDelivery DL/2026/00881180 of 250 shipped70 remainingReserved for WO-2026-0187
Proposed changeCreate a backorder delivery for 70 Nos linked to WO-2026-0187 and notify the customer.ApplyReview each
Services
What the practice delivers.
Outcomes we design for
- Faster, better-informed decisions
- Automation of repetitive work
- AI that passes audit and governance
01AI strategy & readinessUse-case discovery, value sizing and data readiness.
02Applied AI & assistantsAssistants grounded in your systems, with human approval.
03Analytics & decision intelligenceDashboards, drill-down, scheduled reports and KPI alerts.
04Data foundationsIntegration, quality and governance of business data.
Droot AIDashboards & KPI alertsWorkflow automationAccess controls
How we start
An AI readiness sprint.
A focused engagement that ends with a prioritised roadmap and one use case proven on your data.
- 01Discover
Workshops with leadership and process owners to list candidate use cases. - 02Assess
Score each by value, feasibility, data readiness and risk. - 03Prove
Build the top use case on your real data, with governance in place. - 04Plan
A roadmap, investment case and operating model to scale.
Find where AI pays back first.
A 45-minute working session with a solutions architect, on data shaped like yours. You leave with a scope, a timeline and a price.