Agento Solution
Real Results

Case Studies

Real client challenges, the approach we took, and the measurable business results we delivered — across SaaS, AI, e-commerce, and platform engineering.

Why read our case studies?

Portfolio tiles show the final product. Case studies show the process — the tradeoffs we made, how we sequenced work, and what business results followed. Read these to understand how we would approach your project.

01Startup · MVP

From zero to investor demo in 8 weeks

Situation
A pre-seed startup had investor meetings booked but no working product — only slides. The clock was ticking and they needed something real to show.
What we did
We froze scope to one core user workflow, shipped it in two-week sprints, and parked everything else into a clear phase-two backlog. Daily progress cuts, not weekly surprises.
Outcome
Live, clickable product demo delivered before the funding deadline — investors could interact with real features, not mockups.
Next.jsAPI designDesign system
02Legacy · Stability

Stabilizing a system nobody understood

Situation
The original developers were gone, documentation barely existed, and every outage was costing the business money. A full rewrite was not an option.
What we did
We traced the critical paths first, added monitoring and logging where outages hurt most, then refactored high-risk areas in small slices behind feature flags — zero disruption.
Outcome
Zero-downtime improvements, clear runbooks for the ops team, and a codebase the in-house engineers could finally reason about.
ObservabilityPostgreSQLCI
03AI · Adoption

Making an AI tool people actually use

Situation
The client built an AI assistant that tried to handle everything. The result? Nobody trusted the outputs and adoption was near zero.
What we did
We narrowed the AI scope to three high-impact, repeatable tasks. Added human review loops, explicit success metrics per workflow, and clear fallback paths when confidence was low.
Outcome
Weekly active usage within one month — the tool went from being ignored to becoming part of the team's daily workflow.
LLM guardrailsPythonAudit logs
04E-commerce · Scale

Surviving campaign traffic without crashes

Situation
The client's checkout and catalog pages buckled during sales campaigns. Caching was unreliable, inventory counts drifted, and every big promotion meant a war room.
What we did
We separated read-heavy paths from write operations, hardened webhook processing, and load-tested the exact sale scenarios before each go-live.
Outcome
Stable conversion rates under 5x traffic spikes. Finance and operations stopped firefighting the same failure modes every campaign.
StripeRedisNext.js
05API · Partners

One API gateway for 20+ partner integrations

Situation
Every partner integration looked different — inconsistent authentication, unstructured errors, and a painful onboarding experience that took weeks.
What we did
We built a single gateway with typed adapters, shared authentication, and structured error responses that partners could rely on in their own test suites.
Outcome
Partner onboarding time cut by 70%. Fewer 3am alerts when a vendor changed their API behavior.
RESTGraphQLLaravel
06Analytics · B2B

Dashboards that teams actually open every day

Situation
The analytics dashboards looked good but were painfully slow on real data. Exports broke on large accounts and support could not reproduce the issues clients reported.
What we did
We profiled the slowest queries, paginated heavy data paths, and built export jobs with clear progress states and automatic retry logic.
Outcome
Adoption climbed because the product finally felt fast at real data volumes — not just demo datasets. Support tickets dropped 40%.
ReactD3Node.js

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