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Case studies

Production AI systems with measurable outcomes.

Anonymized delivery records for US, European, Indian, UAE, and APAC programs. Each summary includes stack, timeline, metrics, and a reference architecture diagram.

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Delivery proof

Architecture, stack, and impact.

Client identities remain confidential. Technical deep-dives are available on architecture calls.

RAG · B2B SaaS
Helpdesk Copilot
Live
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Looks like your account is on the legacy export pipeline. Switch to the new exporter inSettings → Dataand retry — average run time ~12s.
docs/exports ticket #4821

USA · B2B SaaS · Series B · 8 weeks to production pilot

Production support copilot for a US B2B platform

Governed RAG copilot with citations, weekly eval gates, and SOC-aligned logging for a US SaaS support organization.

Eval score0.91 avgDeflection35%Timeline8 weeks

Challenge

Support relied on tribal knowledge; generic chatbots failed policy accuracy. Enterprise buyers required audit-friendly query logs.

Approach

Hybrid retrieval, reranking, citation-first UX, and staged rollout from internal agents to customer-facing tiers.

Reference architecture

  1. 1

    Ingestion

    Zendesk + Confluence + product docs with ACL mirroring

  2. 2

    Retrieval

    Qdrant hybrid search, metadata filters, reranker

  3. 3

    Generation

    Grounded answers with confidence thresholds + escalation

  4. 4

    Governance

    Eval harness, prompt versioning, SOC-style access logs

Stack

QdrantOpenAILangChainPythonAWSDatadog
Agents · Enterprise

This week

+12.4%

$58.2K

Net revenue · vs last week

AI weekly summary

3 highlights · 1 risk
Auto-generated · Mon 9am

Orders

1,284

Avg ticket

$74

NPS

54

USA · B2B SaaS · Series A · 10 weeks to production

Multi-agent ops workflow for a Series A platform

Planner–executor agents across CRM and billing with human approval gates and full audit trails.

Triage time-68%Escalations-40%Timeline10 weeks

Challenge

Manual triage across five systems created 48h+ resolution cycles and blocked support scale.

Approach

LangGraph orchestration with tool policies, deterministic fallbacks, and weekly KPI reviews with ops leadership.

Reference architecture

  1. 1

    Orchestration

    Planner, executor, verifier agents with retry policies

  2. 2

    Integrations

    Salesforce, Stripe, internal APIs via scoped service accounts

  3. 3

    Safety

    Human-in-the-loop on refunds and customer communications

  4. 4

    Observability

    Tracing, cost dashboards, incident playbooks

Stack

LangGraphAnthropicPostgreSQLRedisAWSGrafana
RAG · EU Fintech
Helpdesk Copilot
Live
Why isn’t my CSV export working this morning?
Looks like your account is on the legacy export pipeline. Switch to the new exporter inSettings → Dataand retry — average run time ~12s.
docs/exports ticket #4821

Europe · Fintech SaaS · EU · 11 weeks including security review

GDPR-conscious RAG for a European fintech SaaS

EU-hosted retrieval lane with DPIA-ready diagrams and procurement-friendly security pack.

Enterprise ACV+DACH winsReview cycle-3 weeksTimeline11 weeks

Challenge

DACH enterprise prospects blocked deals without EU data paths and subprocessors documentation.

Approach

EU region deployment, tenant-scoped indexes, lawful-basis mapping, and legal review artifacts per release.

Reference architecture

  1. 1

    Data map

    Purpose limitation per connector; retention tags on embeddings

  2. 2

    Hosting

    EU cloud region; documented subprocessors list

  3. 3

    Retrieval

    Hybrid search + citation requirements for regulated answers

  4. 4

    Audit

    Query logs with retention caps and override workflows

Stack

QdrantAzure OpenAIPythonAzureTerraform
Platform · India
ops.platform.app
opspilot
RunsEvalsDeploy

AI product engineering · Bengaluru

Copilot + platform in production.

AI copilot, RAG retrieval, and platform engineering for SaaS teams shipping governed AI features.

India · B2B SaaS · growth stage · 12 weeks platform program

Multi-tenant AI platform layer for an Indian SaaS scale-up

Tenant-isolated embeddings, usage metering, and three AI features shipped in one quarter.

Features3 shippedUptime99.95%Timeline12 weeks

Challenge

Monolith blocked AI velocity; no isolation for vectors or per-tenant cost controls.

Approach

Platform APIs for RAG and agents, admin tooling for evals, GitOps delivery on AWS with SLO monitors.

Reference architecture

  1. 1

    Tenancy

    Per-tenant vector collections + API keys

  2. 2

    Services

    Node/Python microservices for retrieval and orchestration

  3. 3

    Product

    Next.js admin + in-app copilot surfaces

  4. 4

    Ops

    CI/CD, canary releases, DPDP-aware data flows

Stack

Next.jsQdrantOpenAIKubernetesAWSStripe
Copilot · UAE
Helpdesk Copilot
Live
Why isn’t my CSV export working this morning?
Looks like your account is on the legacy export pipeline. Switch to the new exporter inSettings → Dataand retry — average run time ~12s.
docs/exports ticket #4821

UAE / Dubai · Services enterprise · 9 weeks pilot to production

Multilingual ops copilot for a UAE service enterprise

Arabic/English RAG over approved playbooks with WhatsApp and CRM integrations.

Resolution-42% timeCSAT+12 ptsTimeline9 weeks

Challenge

High ticket volume across channels; inconsistent answers and slow escalations during peak hours.

Approach

Governed retrieval, language-aware chunking, agent escalation paths, and PDPL-conscious logging.

Reference architecture

  1. 1

    Channels

    CRM + messaging connectors with rate limits

  2. 2

    Knowledge

    Bilingual corpus with policy tags

  3. 3

    Copilot

    Grounded replies + human takeover

  4. 4

    Compliance

    PDPL data map and retention policies

Stack

OpenAIQdrantLangGraphGCPTwilio
Agents · APAC

This week

+12.4%

$58.2K

Net revenue · vs last week

AI weekly summary

3 highlights · 1 risk
Auto-generated · Mon 9am

Orders

1,284

Avg ticket

$74

NPS

54

Singapore · APAC · Logistics · enterprise · 10 weeks

Exception-handling agents for an APAC logistics operator

Agents over TMS and SOP libraries with traced actions and ops dashboards.

SLA breaches-28%Handle time-31%Timeline10 weeks

Challenge

Dispatch teams relied on tribal knowledge; exceptions spiked SLA breaches during peak season.

Approach

Tool-using agents with SOP grounding, supervisor approval on high-impact actions, and weekly eval reviews.

Reference architecture

  1. 1

    Data

    TMS events + SOP docs ingested with metadata

  2. 2

    Agents

    Exception classifier + resolution planner

  3. 3

    Tools

    APIs for ticket updates and status broadcasts

  4. 4

    Metrics

    SLA dashboards tied to automation success rate

Stack

LangGraphOpenAIPostgreSQLAWSDatadog
AI Product Engineering · Enterprise Systems

Build enterprise AI platforms that run in production.

Discuss your roadmap with senior AI engineers. We align architecture, system boundaries, and delivery strategy for scalable product execution.

Typical entry points: AI platform modernization, RAG system deployment, multi-agent workflow implementation, and enterprise automation programs.

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