Build your Agentforce. Ship agents that work.
Kovil AI is a specialist Agentforce implementation partner. We design, build and deploy autonomous AI agents inside your Salesforce org — in fixed-price sprints with zero delivery risk.
2-week risk-free pilot · Fixed-price sprints · Milestone-gated delivery
Kovil AI is a Salesforce Agentforce implementation partner serving enterprises across the United States. Our Agentforce consulting practice covers agent design, Sales Cloud deployment, Service Cloud deployment, MuleSoft integration, and Atlas Reasoning Engine configuration — delivered in fixed-price sprints from our New York office.

The Implementation Gap
Most Agentforce orgs have licences.
Almost none have production agents.
The platform works. The gap is implementation — knowing which Topics to build, how to ground agents in live data, how to configure guardrails that hold in production, and how to integrate with systems that weren't designed for AI. That's where most teams get stuck. That's exactly what we fix.
Org Audit & Use Case Mapping
We inspect your Salesforce org, data quality, and existing workflows to identify the 2–3 agent opportunities with the highest ROI and lowest implementation risk. You get a prioritised roadmap before we write a single line of config.
Build, Test & Deploy
We build your first production agent — Topics, Actions, Flows, guardrails, and data connections — and deploy it live in your org. Not a demo. Not a sandbox. Production-grade, with the Einstein Trust Layer configured from day one.
Scale & Optimise
Once your first agent is live and measurably working, we expand across clouds — Sales, Service, Marketing, Ops — with each sprint building on the last. You own the agents. We own the outcomes.
Why implementations fail — and what we do differently
Topics built from demos, not business logic
We map Topics directly to your actual workflows, escalation paths, and business rules — not Salesforce's sample agents.
Agents with no live data grounding
We connect every agent to live Data Cloud, CRM records, and external systems via MuleSoft from day one. No hallucinations from stale context.
Admin-led builds with no AI depth
Every build is led by engineers who understand LLM reasoning, prompt injection, and guardrail design — not just Salesforce configuration.
Agentforce Explained
What is Agentforce?
Agentforce is Salesforce's autonomous AI agent platform, launched in October 2024. It enables companies to build, deploy, and manage AI agents that reason, plan, and take action across Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud — without requiring human intervention for routine tasks.
Unlike traditional Salesforce automation (Flows, Process Builder), Agentforce agents use the Atlas Reasoning Engine — a hybrid AI layer that classifies intent, selects actions, executes tasks, and reflects on outcomes. Agents are configured using Topics (what the agent handles), Actions (what it can do), and Instructions (how it should behave).
Enterprise security is handled by the Einstein Trust Layer, which ensures zero data retention for LLM calls, prevents prompt injection, masks PII, and maintains a full audit log of every agent action — making Agentforce suitable for regulated industries including financial services and healthcare.
As of 2025, Agentforce is licensed per conversation at approximately $2/conversation, with volume discounts available. Agentforce 3 added native MCP (Model Context Protocol) support, enabling agents to connect directly to Google Cloud, Stripe, PayPal, and other external platforms.
Services
Our Agentforce Services
From first agent to full enterprise rollout — we cover every phase.
Free · No commitment
Not sure which Agentforce service fits your org?
Book a free 30-minute discovery call. We'll review your Salesforce org, identify the 2–3 highest-ROI agent opportunities, and give you an honest implementation roadmap — no sales pitch.
Use Cases
What We Build
Agentforce SDR Agent
Qualifies inbound leads, sends personalised outreach, handles objections, books meetings. 24/7 pipeline coverage.
Pipeline Health Monitor
Monitors stalled deals, auto-drafts follow-up emails, updates opportunity stages, alerts reps to risk signals.
Quote & Proposal Agent
Pulls product data, drafts CPQ quotes, routes for approval, and sends to prospects — without rep intervention.
Results
Agentforce in Production
Real deployments. Real outcomes.
Series B lending platform · 120,000 active borrowers
Problem
Loan servicing team handling 2,400 support cases/week manually, 48-hour average resolution time.
What we built
Deployed an Agentforce Service Cloud agent trained on 4 years of case history, integrated with loan management system via MuleSoft.
200-person B2B SaaS company · $18M ARR
Problem
SDR team burning 60% of time on manual lead qualification, 4-day average lead response time.
What we built
Agentforce SDR agents in Sales Cloud qualifying inbound leads, sending personalised outreach, booking discovery calls within minutes of lead creation.
Multi-site healthcare network · 85 clinicians
Problem
Admin staff managing 1,800 appointment queries/week — scheduling, cancellations, insurance verification.
What we built
Agentforce Service Agent integrated with EHR and scheduling system via MuleSoft. Handles booking, rescheduling, insurance eligibility, pre-visit instructions.
Playbook
The Agentforce Playbook
Practitioner guides, implementation patterns, and field notes from real Agentforce deployments. Written by the engineers who build them.
Resources
Free Agentforce Resources
Download and keep. No spam.
The Agentforce Readiness Guide
Is your Salesforce org ready for Agentforce? This guide covers the 5 readiness pillars — data quality, org architecture, use case prioritisation, team enablement, and governance — with a self-assessment scorecard included.
Agentforce Implementation Whitepaper
Covers Agentforce 360 architecture, the Atlas Reasoning Engine, Einstein Trust Layer, MuleSoft integration patterns, and a phased rollout framework for enterprise.
Why Us
Why Kovil AI for Agentforce?
AI-native engineers, not Salesforce generalists
We're an AI engineering firm first. Every Agentforce build is designed by engineers who understand LLMs, RAG, and agentic reasoning — not just admins following a config guide.
Fixed-price sprints. Zero surprises.
Every engagement is scoped, priced, and milestone-gated before we write a single line of config. You know exactly what you're getting and when.
2-week risk-free pilot
Start with a pilot agent scoped to one high-impact use case. If we don't deliver measurable value in 2 weeks, you pay nothing.
Production-grade delivery
We don't build demo agents. Every deployment includes guardrail configuration, Einstein Trust Layer setup, monitoring, and a 30-day post-launch support window.
FAQ