Scale Your Tech Business with AI-Powered CRM and Intelligent Operations
Mirketa helps SaaS companies, ISVs, and tech enterprises accelerate growth with Salesforce Sales Cloud, AI-powered pipeline management, and autonomous IT operations. From Agentforce SDR automation to incident remediation AI — we build the systems that let your engineering and sales teams focus on what actually matters.
The Engineering and Sales Problems That Slow Every Tech Company Down
These are the operational challenges we hear from CTOs, VP Engineering, and VP Sales at SaaS companies, ISVs, and tech enterprises every week.
On-Call Engineers Spending 40–60% of Incident Time Gathering Context
When an incident fires at 2am, your on-call engineer spends the first 20 to 30 minutes opening tabs — Datadog, Splunk, the runbook wiki, the Slack incident channel, the Jira board. By the time they have the full picture, the incident has already been running for half an hour. That context-gathering time is not engineering — it is manual information retrieval that AI can do in seconds.
Fragmented Customer Data Slowing Enterprise Sales Cycles
Your CRM has the deal history. Your product analytics platform has the usage data. Your support system has the ticket history. Your finance system has the contract and renewal dates. None of these systems talk to each other — so your AEs are going into renewal conversations without knowing whether the customer is actively using the product or quietly churning.
Manual Lead Scoring and Routing Reducing SDR Efficiency
SDRs spending time manually scoring inbound leads, routing them to the right territory, and drafting personalized outreach is an expensive use of human attention. The leads that should be prioritized are not always the ones that get called first. And the personalization that converts enterprise prospects takes time that SDRs do not have when they are managing 50 to 100 leads at once.
Legacy CI/CD and DevOps Pipelines Not Integrated with CRM or Ticketing
When a deployment causes a customer-impacting incident, your customer success team should know about it immediately — not when the customer calls. When a bug is fixed and deployed, the support ticket should close automatically. When a feature a customer requested ships, the AE should get a notification to reach out. These connections between your DevOps pipeline and your CRM are not complex — but most tech companies have never built them.
No Unified View of Customer Health Across Product, Support, and Sales
Customer success managers are making renewal and expansion decisions based on incomplete information. Product usage is in one system. Support ticket volume and sentiment is in another. NPS scores are in a spreadsheet. Contract renewal dates are in the CRM. Without a unified customer health score that combines all of these signals, your CS team is flying blind — and churn often comes as a surprise.
Five Solutions That Connect Your Engineering, Sales, and Customer Success Operations
Each solution addresses a specific growth or operational challenge — with measurable outcomes and a clear implementation path for SaaS companies, ISVs, and tech enterprises.
Salesforce Sales and Service Cloud for B2B Tech Companies
We implement Salesforce Sales Cloud and Service Cloud configured specifically for B2B SaaS and tech companies — with enterprise deal management, territory and quota management, CPQ for complex pricing, and customer success workflows that connect product usage data to account health. Your AEs and CSMs work from a single platform that shows them everything they need to close deals and retain customers.
Agentforce Deployment for Intelligent Lead Routing and Pipeline Automation
We deploy Salesforce Agentforce AI agents that work alongside your SDR and AE teams — qualifying inbound leads automatically, routing them to the right rep based on territory, product fit, and deal size, and drafting personalized outreach based on the prospect's industry and company profile. For B2B SaaS companies with high inbound volume, Agentforce typically reduces SDR response time from hours to minutes and improves lead-to-opportunity conversion by 25 to 35 percent.
Autonomous Incident Detection and Remediation AI
We deploy an AI agent that continuously monitors your logs, metrics, and runbooks. When an incident fires, it automatically gathers the relevant context from across your monitoring stack — Datadog, Splunk, CloudWatch, Prometheus — and surfaces it to the on-call engineer in a structured summary before they have opened a single browser tab. Remediation suggestions are generated from your existing runbooks. Mean-time-to-resolve drops by 40 percent on average.
Customer 360 Architecture Connecting Product Usage, Support, and CRM
We build custom integrations that pull product usage telemetry — login frequency, feature adoption, API call volume, and usage trend data — from your product analytics platform into Salesforce. We then build customer health score models that combine product usage signals with support ticket volume, NPS scores, and contract renewal dates to give your customer success team a single health view for every account. This is the foundation of proactive churn prevention for SaaS companies.
ServiceNow + Salesforce Integration for Unified ITSM and CRM
We integrate ServiceNow and Salesforce so that incidents, change requests, and service tickets flow automatically between your ITSM and CRM platforms. When a customer-impacting incident fires in ServiceNow, the relevant customer success manager in Salesforce is notified immediately. When a support ticket in Salesforce requires an infrastructure change, it creates the corresponding ServiceNow change request automatically. Your engineering and customer-facing teams finally work from connected systems.
Autonomous Incident Detection & Remediation: Context Before the On-Call Engineer Opens a Browser
The AI agent continuously monitors logs, metrics, and runbooks. When an incident fires, it surfaces full context and suggests remediation steps — before the on-call engineer even opens a browser. No codebase access required. Works with your existing monitoring stack. Reduces mean-time-to-resolve by 40 percent.
B2B SaaS Company Cuts MTTR by 44% and Grows Pipeline by 38% with Agentforce
A Series C B2B SaaS company with 200 engineers and a 40-person sales team was facing two separate but equally painful problems. Their on-call engineers were spending an average of 35 minutes gathering context at the start of every incident — and their SDR team was taking 6 to 8 hours to respond to inbound enterprise leads because of manual routing and scoring.
Mirketa deployed the Autonomous Incident Detection AI and Agentforce simultaneously. Within 60 days, incident MTTR dropped by 44 percent, SDR response time fell from 7 hours to under 20 minutes, and the sales team closed 38 percent more pipeline in the following quarter. Engineering on-call burnout scores improved significantly — engineers were spending their incident time on actual problem-solving, not information retrieval.
The incident AI was the first thing we deployed and the results were immediate. Our on-call engineers stopped dreading pages because they were no longer spending 30 minutes just figuring out what was happening. The context was already there. And Agentforce changed how our SDR team thinks about inbound — they are focused on conversations now, not on routing spreadsheets.
The Engineering and CRM Platforms Behind Every Solution We Build
We work with the platforms your engineering and sales teams already use — and connect them in ways that create measurable operational improvements.
Salesforce Sales Cloud
B2B pipeline management, CPQ, territory management, and forecasting for tech companies
Agentforce
AI agents for lead routing, SDR automation, and pipeline management within Salesforce
AWS
Cloud infrastructure, CloudWatch monitoring, and AI model hosting for incident detection
Microsoft Azure
Azure Monitor, Azure DevOps, and Azure AI for engineering operations and pipeline automation
MuleSoft
Integration middleware connecting Salesforce, ServiceNow, Jira, and DevOps toolchains
Incident AI Agent
Mirketa's autonomous incident detection and remediation accelerator — reduces MTTR by 40%
ServiceNow
ITSM integration with Salesforce for unified incident management and customer visibility
GitLab / GitHub
CI/CD pipeline integration with Salesforce for deployment-to-CRM event automation
Stop Routing Leads Manually. Let AI Qualify, Score, and Route While Your SDRs Have Conversations.
Agentforce deploys AI agents that work within Salesforce Sales Cloud — qualifying inbound leads automatically, routing them to the right rep based on territory, product fit, and deal size, and drafting personalized outreach based on the prospect's company profile. Your SDRs stop being routing coordinators and start being the first human touch in a warm, qualified conversation.
Intelligent Lead Scoring
AI scores inbound leads based on company size, industry, product fit, and engagement signals — automatically
Territory-Based Routing
Leads routed to the right rep based on territory, segment, and deal size — in minutes, not hours
Personalized Outreach Drafts
AI drafts personalized first-touch emails based on the prospect's industry, company profile, and use case
Pipeline Forecasting
AI-powered pipeline forecasting that identifies deals at risk and surfaces coaching opportunities for managers
Know Which Customers Are Thriving and Which Are at Risk — Before It Is Too Late to Act
Mirketa builds Customer 360 architectures that pull product usage telemetry, support ticket data, NPS scores, and contract information into a single Salesforce health view for every account. Your customer success team stops reacting to churn and starts preventing it.
Product Usage Signals
Login frequency, feature adoption, and API call volume pulled from Mixpanel, Amplitude, or Segment
Support Ticket Intelligence
Ticket volume, severity trends, and resolution time from Zendesk, Jira, or ServiceNow
NPS and Sentiment
NPS scores and customer sentiment data integrated into the health score model
Renewal and Expansion Signals
Contract renewal dates, expansion opportunities, and upsell signals from Salesforce CRM
We Work with Every Type of Technology Business
Our solutions are configured for the specific growth and operational requirements of each tech segment — not generic CRM or DevOps implementations.
B2B SaaS Companies
Salesforce Sales Cloud, Agentforce, and Customer 360 for SaaS companies scaling from Series A through enterprise.
ISVs and AppExchange Partners
Custom AppExchange application development, Salesforce ISV program support, and managed package architecture.
Tech Enterprises
ServiceNow + Salesforce integration, incident AI, and enterprise CRM transformation for large technology companies.
DevOps and Platform Teams
Autonomous incident detection AI, CI/CD to CRM integration, and engineering operations automation.
What SaaS and Tech Leaders Say About Working with Mirketa
Trusted by CTOs, VP Engineering, VP Sales, and customer success leaders at B2B SaaS companies, ISVs, and tech enterprises.
Frequently Asked Questions
Honest answers to the questions CTOs, VP Engineering, and VP Sales ask most about Salesforce for SaaS, Agentforce, incident AI, and AppExchange development.
Ready to Build Smarter Engineering and Sales Operations?
Talk to a Mirketa technology specialist about Salesforce for SaaS, Agentforce deployment, incident AI, or Customer 360 architecture. We will respond within one business day.
Agentforce & Incident AI
AI-powered SDR automation and autonomous incident remediation
Customer 360 Architecture
Product usage + support + CRM unified in Salesforce
DevOps + CRM Integration
ServiceNow, Jira, GitHub, and GitLab connected to Salesforce
AppExchange Development
Custom Salesforce applications for ISVs and tech companies
Book a Tech Company AI Demo
Tell us about your engineering or sales challenge and we will show you how Mirketa solves it.
Ready to Build AI-Powered Engineering and Sales Operations?
From Agentforce SDR automation to autonomous incident remediation — Mirketa builds the AI systems that let your engineering and sales teams focus on what actually matters. Let us show you what is possible for your tech business.