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Case studies

Work we have shipped.

We have worked with 40+ partners to automate operational work and build AI-assisted workflows around the systems they already run.

40+partnersoperations teams we have worked with to automate manual work and build AI-assisted workflows.
Project dashboard for one RFP: 312 questions split across approved, in review, returned and rejected, with section progress and the project context shared with every question.

Enterprise fintech

Complex RFPs without the copy-and-paste workflow

Proposal Managers were coordinating hundreds of questions across internal experts, previous answers and customer spreadsheets. We brought the drafting, review and document completion into one controlled workflow.

Industry
Financial services technology
Environment
Client-controlled Azure
Interfaces
Web app + browser extension
Document scale
RFPs beyond 300 pages
Purchase-order decision card showing a draft order, the reasoning for one SKU, its stock runway and confidence, with Modify and Approve as the next actions.

Atheera AI

From fragmented retail data to a purchase order ready for review

Weekly reorder planning depended on sales, inventory and supplier information spread across Shopify and spreadsheets. We brought that data into one reviewable path from validation to purchase order.

Industry
Retail and e-commerce
Engagement
Inventory decision workflow
Primary source
Shopify plus manual uploads
Output
Editable purchase orders
Exception queue grouped by issue, with each row showing expected and actual amounts, the difference, who owns the next action and how long it has been open.

Freight and logistics

Checking freight bills without investigating every invoice by hand

Finance had to reconstruct the shipment, agreed rate and supporting paperwork before approving a vendor invoice. We brought that investigation into one workflow and sent only genuine exceptions to a person.

Industry
Freight and logistics
Engagement
Finance workflow automation
Integration
Layer over existing systems
Human control
Financial approvals stayed with the team
Visual conversation flow beside a live WhatsApp preview, showing separate sales and support paths from the same opening question.

Lemonize

One operating layer over the channels an agency used every day

Lemonize’s daily work lived inside external platforms. We first made WhatsApp conversations easier to build and test, then brought campaign operations across Meta, Snapchat and TikTok into one place.

Industry
Digital advertising agency
First workflow
WhatsApp conversation builder
Second workflow
Cross-platform advertising operations
Approach
Add an operating layer, not another channel
Demonstration dashboard showing a monthly 3PL invoice moving from reconciliation through review, dispute and credit tracking.

Fieldstone Home

Turning thousands of 3PL charges into a focused review queue

A monthly fulfilment invoice contained thousands of lines that could only be verified against orders, shipments and contracted rates. Keel checked every line and brought only the genuine discrepancies to finance.

Industry
E-commerce
Systems
Shopify, ShipBob and contracted rates
Engagement
Fulfilment reconciliation platform
Measured on
Credits received, not amounts flagged

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Bring one process. We will tell you whether it is worth automating.

No deck, no discovery phase, no obligation. If the honest answer is that software will not pay for itself here, that is the answer you will get.

Usually starts as one of these

  • Exceptions and manual review
  • Handoffs between teams
  • Reporting and reconciliation
Book a call

What happens on the call

  1. 01You walk us through one process, start to end, in whatever detail you have.
  2. 02We map where the time actually goes, and which parts a machine could take.
  3. 03You get a straight answer. Sometimes that answer is that it is not worth doing.

Thirty minutes. Nothing to prepare.