SALESFORCE · AWS · AGENTIC AI

Where Salesforce, AWS, and autonomous AI converge.

Gaurika Technology Solutions designs and builds enterprise systems that connect your CRM, your cloud, and intelligent agents that act on both — so your business runs on infrastructure that thinks.

Salesforce Lightning ◆ Service Cloud ◆ Sales Cloud ◆ Apex & LWC ◆ AWS Lambda ◆ Amazon Bedrock ◆ EC2 & ECS ◆ Multi-Agent Orchestration ◆ RAG Pipelines ◆ LLM Fine-Tuning ◆ API Integration ◆ DevOps & CI/CD

What we do

Three disciplines. One delivery team.

We don't split your project across separate vendors. The same engineers configure your Salesforce org, build the AWS infrastructure underneath it, and design the agents that connect them.

Salesforce Engineering

Custom builds, integrations, and optimization across the Salesforce ecosystem — for teams that live inside their CRM.

  • Sales & Service Cloud implementation
  • Custom Apex, LWC & Flow development
  • Third-party integrations & data migration
  • Org optimization & technical debt cleanup

AWS Cloud Infrastructure

Resilient, secure, cost-aware cloud architecture — from a single Lambda function to a full multi-account landing zone.

  • Cloud architecture & migration
  • Serverless & containerized workloads
  • CI/CD pipelines & infrastructure as code
  • Monitoring, security & cost optimization

Agentic AI Solutions

AI agents that don't just answer questions — they take action, call tools, and complete work inside your existing systems.

  • Multi-agent system design
  • RAG & knowledge-grounded agents
  • Tool-calling & workflow automation
  • Model evaluation & guardrails

How we work

A straight line from idea to running system.

Four stages, every time. No black-box phase where you lose visibility into what's being built.

01

Discover

We map your systems, data, and the outcome you actually need — before proposing a single tool.

02

Design

We architect the integration between CRM, cloud, and agents before writing a line of code.

03

Build

We ship in increments, with working software in your hands early and reviewed often.

04

Operate

We stay on as the system runs — monitoring, tuning, and evolving it alongside your team.

Why Gaurika

What changes when one team owns the whole stack.

Cross-stack by design

The engineers who configure your Salesforce org also build the AWS infrastructure and the agents that connect them — nothing gets lost in handoffs.

Agentic-first thinking

Every system we build is designed with autonomous agents in mind from day one, not bolted on as an afterthought.

Senior-led delivery

You work directly with the engineers building your system — not a rotating account team relaying messages.

Built to be owned

We document, hand off, and train your team so the system you end up with is yours to run — not a black box you depend on us for.

In practice

What convergence actually enables.

A few examples of the kind of system this approach makes possible.

Support

A support agent that closes its own tickets

An AI agent reads incoming Salesforce cases, pulls context from your knowledge base on AWS, drafts a resolution, and only escalates to a human when it's genuinely stuck.

Sales

A pipeline that updates itself

Call transcripts and emails get parsed automatically, Salesforce records update without manual entry, and reps get a daily AI-generated brief instead of digging through dashboards.

Infrastructure

Cloud capacity that scales before you ask

AWS workloads are provisioned and tuned based on real usage patterns and agent-monitored thresholds, instead of sitting on fixed-size servers sized for worst case.

Let's build something that runs itself.

Tell us what you're working with — your CRM, your cloud, your bottleneck — and we'll tell you what's possible.