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Case studies

Anonymized engagements across the services Sapota ships. Each post walks the brief, the architecture, the deliverable, and the trade-offs that shaped the build.

Posts cover Salesforce, Power Platform, Retool, Shopify, AI agents, and custom software engagements. Each byline names the engineer who shipped the project.

Featured case studies

Power Apps for a Japanese driving school: weekly to yearly KPI reports

About the case study cluster

Case studies are a tightly-scoped subset of the blog: they document anonymized client engagements end to end, from the brief and the constraints through to the architecture decisions, the deliverable shape, and the trade-offs the team picked over the alternatives. Every case study is written by the engineer who ran the engagement, with a named byline above the post.

The anonymization principle: anything that would identify the client (company name, product surface, specific data volumes when public disclosure would be harmful) gets replaced with descriptive language ("a regional retail bank in APAC", "a US-listed SaaS firm in the security space"). Anything that demonstrates the technical pattern (architecture, schema, library choices, framework decisions, before/after metrics where the numbers are generic enough to share) stays in. Readers get the lesson without compromising the client relationship.

Common project shapes documented here: Salesforce Marketing Cloud Connect rollouts, Marketing Cloud Personalization (Interaction Studio) launches, CPQ Classic to Revenue Lifecycle Management migrations, Power Platform Dataverse modeling, D365 Finance and Operations dual-write setups, Retool admin tool migrations from Jupyter or Streamlit, Shopify B2C Commerce headless rollouts on PWA Kit, and AI agent deployments built on RAG with hybrid search. The case studies cross-link to the matching service pages so a reader can move from "what was built" into "what an engagement here looks like".

Reading order for visitors comparing engagement partners: pick one case study that matches your project shape (the cluster is small enough to scan in five minutes), then read the engineer's byline back to the team page, then check the blog category that hosts the same practice for the supporting decision-framework posts. That sequence gives you (1) a finished-product reference, (2) a verifiable engineer, and (3) the surrounding pattern library, which together is closer to the evidence base most enterprise procurement reviewers actually want before short-listing.

Engagements with Sapota always start with a two-week paid trial scoped to one concrete deliverable. Direct pricing from $1,800 per engineer per month, senior-only staffing, no agency markup, no minimum commitment. If the case study you read matches a problem your team is currently working on, the engineers who wrote the post are available for scoping calls. Reach out via the contact page with the project shape and rough timeline; we reply within one business day most weeks.

For longer-form, cross-cluster reading on the platforms most of these case studies live on, the three pillar guides aggregate the supporting posts: SFMC implementation guide, Power Platform engineering guide, and D365 F&O engineering guide.

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Case studies

Featured case studies

Power Apps for a driving school: weekly to yearly KPI reports

Data engineering for a regulated fintech: a 10-month AWS lake build

Migrating a quant risk dashboard from Jupyter to Retool

Shipping a marketplace MVP in FlutterFlow: 12-week build

Building a 3-email welcome series in Salesforce Journey Builder

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