AI Enablement · Agent Development
Build AI Agents That
Think, Act, and Deliver.
Design and deploy custom enterprise AI agents that autonomously plan, use tools, and execute complex multi-step workflows — without constant human intervention. From single-purpose task agents to sophisticated multi-agent systems.
LangGraph & CrewAI
AutoGen & Agentforce
Human-in-the-Loop
Enterprise Governance
⚡ How an AI Agent Works
Goal Received
User or system defines the objective
→
Reason & Plan
LLM breaks task into actionable steps
→
Use Tools & APIs
Calls CRM, databases, web, and services
→
Observe & Adapt
Evaluates results and adjusts approach
→
Deliver Outcome
Returns result or escalates to human
✓
The Shift to Agentic AI
Traditional Automation Has Hit Its Ceiling
Rule-based automation works until reality doesn't follow the rules. AI agents reason through ambiguity, adapt to change, and complete goals - not just tasks.
Traditional RPA & Automation
- Rigid rule-based logic breaks on any exception or edge case
- Requires constant human intervention to handle ambiguity
- Cannot reason, plan, or adapt to changing business conditions
- Siloed workflows - each automation operates in isolation
- Expensive to maintain as systems and processes evolve
- No memory - every interaction starts from zero context
Mirketa AI Agents
- Goal-oriented reasoning that navigates ambiguity and exceptions autonomously
- Dynamic tool use - calls APIs, databases, and services as needed
- Multi-step planning with self-correction and retry logic built in
- Persistent memory across sessions for context-aware decision making
- Human-in-the-loop escalation for high-stakes or uncertain decisions
- Continuously learns and improves from production outcomes
Core Capabilities
What We Build for Your Enterprise
Every agent we build is purpose-designed around your specific workflows, data architecture, and governance requirements — not a generic template.
Custom AI Agent Development
We design and build bespoke AI agents tailored to your exact business processes. From single-purpose task agents to sophisticated reasoning systems, each agent is built with production-grade reliability, security, and governance from day one.
- Purpose-built agent logic aligned to your specific workflows
- Tool integration with your APIs, databases, and enterprise systems
- Persistent memory and context management across sessions
- Built-in guardrails to prevent hallucination and unauthorized actions
Salesforce Agentforce Development
As Salesforce consulting partners, we build native AI agents within the Agentforce platform - deeply integrated with your CRM, Service Cloud, and Sales Cloud data. Agents that know your customers, your products, and your processes.
- Native Agentforce agent design and configuration
- Deep integration with Salesforce data, flows, and Apex
- Customer service, sales, and operations automation agents
- Einstein AI capabilities embedded in every agent interaction
Multi-Agent Systems
Complex enterprise problems require more than a single agent. We architect collaborative multi-agent systems where an orchestrator agent decomposes tasks and delegates to specialist sub-agents - each optimized for a specific function, working in parallel or sequence.
- Orchestrator - subagent patterns for complex task decomposition
- Parallel agent execution to dramatically reduce workflow latency
- Agent-to-agent communication with structured handoff protocols
- Centralized monitoring and governance across all agents
Agent Governance & Trust Layer
Enterprise AI must be trustworthy before it can be transformative. We implement a progressive oversight framework - starting with maximum human control and systematically reducing approval friction as agents demonstrate consistent, reliable performance in your environment.
- Approval gates for financial transactions and sensitive record changes
- Ambiguity resolution - agents escalate with options, never guess
- Trust calibration: oversight reduces as performance is validated
- Full audit trails, explainability, and compliance reporting
Types of AI Agents
The Right Agent for Every Business Problem
Not all AI agents are built the same. We match the right agent architecture to your specific use case — ensuring maximum reliability and ROI.
01
Task Execution Agents
Autonomous agents that take a goal and execute a defined sequence of steps — calling APIs, querying databases, filling forms, and generating outputs — without human intervention at each step. Ideal for high-volume, repetitive workflows that currently require manual effort.
Invoice Processing
Data Entry & Validation
Report Generation
Compliance Checks
02
Conversational & Support Agents
Intelligent agents that go far beyond FAQ chatbots — they understand context, access live data, take actions on behalf of users, and resolve issues end-to-end. They handle escalations gracefully and hand off to human agents with full context when needed.
Customer Service
IT Help Desk
HR Self-Service
Sales Assistant
03
Research & Analytical Agents
Agents designed to gather information from multiple sources, synthesize insights, identify patterns, and produce structured outputs — dramatically compressing the time required for research, due diligence, competitive analysis, and business intelligence workflows.
Market Research
Due Diligence
Clinical Summarization
Financial Analysis
04
Orchestrator & Coordinator Agents
Master agents that receive high-level goals, decompose them into sub-tasks, delegate to specialist agents, monitor progress, and aggregate results. The brain of a multi-agent system — enabling enterprise-scale automation that no single agent could accomplish alone.
Workflow Orchestration
Multi-Agent Coordination
Process Automation
Decision Routing
Technology & Frameworks
Framework-Agnostic. Best-Tool-for-the-Job.
We don't lock you into a single framework. We evaluate your use case, data architecture, and scale requirements - then select the right technology to build on.
LG
LangGraph
Built for complex, stateful, production-grade agent workflows. LangGraph's graph-based architecture gives us precise control over agent state, branching logic, and human-in-the-loop checkpoints - ideal for enterprise deployments requiring auditability and reliability.
Best for: Complex, stateful enterprise workflowsCA
CrewAI
Purpose-built for multi-agent collaboration with role-based agent design. CrewAI enables rapid development of agent teams where each agent has a defined role, backstory, and toolset - making it ideal for research, content, and analysis workflows requiring diverse expertise.
Best for: Multi-agent collaboration & researchAG
AutoGen
Microsoft's open-source framework for conversational multi-agent systems. AutoGen excels in Azure-integrated environments and scenarios requiring dynamic agent conversations, code execution, and tight integration with Microsoft 365 and enterprise data platforms.
Best for: Azure & Microsoft ecosystemAF
Salesforce Agentforce
Native AI agents built directly within the Salesforce platform. Agentforce agents have deep access to your CRM data, Salesforce Flows, and Einstein AI capabilities - making them the most powerful choice for customer-facing and sales operations use cases.
Best for: CRM & customer-facing automationMCP
Model Context Protocol
Anthropic's open standard for connecting AI agents to enterprise data and tools. MCP eliminates the M×N integration problem by providing a single, standardized protocol - allowing agents built on any framework to access your CRM, ERP, and legacy systems securely.
Best for: Enterprise system integrationOA
OpenAI Assistants API
OpenAI's production-ready Assistants API provides built-in tool use, code interpreter, file search, and persistent thread management. Ideal for building highly capable, general-purpose agents that leverage the latest GPT-4 and o-series model capabilities.
Best for: General-purpose & GPT-native agentsIndustry Impact
AI Agents Across Every Vertical
Our agent frameworks are designed around the specific data architectures, compliance requirements, and workflow patterns of each industry we serve.
Healthcare AI Agents
Healthcare organizations manage fragmented EHR systems, payer platforms, and clinical databases. Our AI agents bridge these silos — enabling autonomous clinical documentation, intelligent scheduling, and proactive care coordination within HIPAA-compliant governance frameworks.
50%+
Faster clinical documentation with AI-assisted note generation
40%
Reduction in call center volume via intelligent scheduling agents
↑25%
First-pass claim acceptance via pre-submission review agents
⚡ Healthcare Agent Use Cases
Clinical Documentation Agent
EHR → Transcription → Structured Notes → Provider Review
Smart Scheduling Agent
Patient Request → NLP → Availability Check → Confirmation
Prior Authorization Agent
Prescription → Payer Rules → Auto-Submit → Status Tracking
Claims Processing Agent
Claim → Validation → Coding Review → Submission → Follow-up
Financial Services AI Agents
Financial institutions require AI agents that combine speed with precision and compliance. Our agents operate within strict regulatory guardrails — automating loan processing, fraud detection, and client onboarding while maintaining full audit trails and SOC 2 / SOX compliance.
70%
Reduction in loan processing time with document analysis agents
3×
Faster client onboarding with KYC and compliance automation
85%
Fraud alert accuracy improvement with pattern-matching agents
⚡ Financial Services Agent Use Cases
Loan Processing Agent
Application → Document Extraction → Credit Analysis → Decision
Fraud Detection Agent
Transaction → Pattern Analysis → Risk Score → Alert or Approve
KYC & Onboarding Agent
Documents → Identity Verification → Compliance Check → Approval
Portfolio Analysis Agent
Market Data → Risk Assessment → Rebalancing Recommendations
Nonprofit & Education AI Agents
Nonprofits and educational institutions operate with lean teams and limited budgets. Our AI agents amplify their impact — automating donor engagement, grant research, student support, and administrative workflows so staff can focus on mission-critical work.
45%
Increase in donor engagement with personalized outreach agents
60%
Reduction in grant research time with automated discovery agents
30%
Improvement in student retention with proactive support agents
⚡ Nonprofit & Education Agent Use Cases
Donor Engagement Agent
Donor Profile → Personalization → Outreach → Response Tracking
Grant Research Agent
Mission Profile → Grant Database → Match Analysis → Draft Report
Student Success Agent
Performance Data → Risk Identification → Intervention → Follow-up
Admissions Processing Agent
Application → Document Review → Scoring → Decision Support
Technology & SaaS AI Agents
Technology companies use AI agents to accelerate development cycles, automate IT operations, and deliver intelligent product experiences. From code review agents to infrastructure monitoring, we help tech teams move faster with higher quality and fewer incidents.
55%
Faster incident resolution with intelligent IT operations agents
40%
Reduction in support ticket volume with self-service agents
3×
Faster code review cycles with AI-assisted development agents
⚡ Technology & SaaS Agent Use Cases
IT Operations Agent
Alert → Root Cause Analysis → Remediation → Verification
Technical Support Agent
Ticket → Knowledge Base → Solution → Escalation if Needed
CI/CD Monitoring Agent
Build Event → Test Analysis → Failure Diagnosis → Dev Notification
Customer Success Agent
Usage Data → Churn Risk → Proactive Outreach → Retention Action
Retail & E-Commerce AI Agents
Retail organizations use AI agents to deliver personalized shopping experiences, optimize inventory, and automate supply chain decisions. Our agents connect across your commerce platform, ERP, and logistics systems to drive revenue and reduce operational costs.
35%
Increase in conversion with personalized shopping agents
25%
Reduction in inventory holding costs with demand planning agents
50%
Faster order resolution with autonomous customer service agents
⚡ Retail & E-Commerce Agent Use Cases
Personal Shopping Agent
Customer Profile → Preference Analysis → Recommendations → Purchase
Inventory Management Agent
Sales Data → Demand Forecast → Reorder Trigger → Supplier PO
Order Tracking Agent
Order Event → Logistics API → Customer Notification → Issue Resolution
Returns & Refunds Agent
Return Request → Policy Check → Approval → Refund Processing
Our Delivery Approach
From Concept to Production Agent in Weeks
Our proven agent development lifecycle ensures every AI agent is deployed with precision, speed, and measurable business impact — not months of consulting engagements.
1
Week 1–2
Discovery & Use Case Design
Identify high-ROI agent opportunities, map existing workflows, define agent personas, tools, and success metrics. Deliver a prioritized agent roadmap.
2
Week 2–4
Architecture & Framework Selection
Design the agent architecture, select the right framework (LangGraph, CrewAI, Agentforce), define tool integrations, memory strategy, and governance model.
3
Week 4–10
Build, Integrate & Test
Develop agent logic, integrate enterprise APIs and data sources, implement guardrails and human-in-the-loop checkpoints. Iterative demos throughout the build cycle.
4
Week 10–12+
Deploy, Monitor & Optimize
Launch to production, train your teams, establish monitoring dashboards, and continuously optimize agent performance based on real-world outcomes.
Why Mirketa
Mirketa vs. Building In-House vs. Generic Platforms
Not all AI agent development approaches are equal. Here is how our approach compares to the alternatives most enterprises consider.
| Capability | ✓ Mirketa Agent Development | Build In-House | Generic AI Platforms |
|---|---|---|---|
| Time to production deployment | ✓ 8–12 weeks | 6–18 months | 3–6 months (with customization) |
| Framework flexibility | ✓ Framework-agnostic | ~ Depends on team expertise | ✗ Locked to platform |
| Enterprise system integration | ✓ Native MCP + custom connectors | ~ Requires significant dev effort | ~ Limited connector library |
| Governance & trust layer | ✓ Built-in, configurable | ~ Must be designed from scratch | ~ Basic guardrails only |
| Salesforce / Agentforce support | ✓ Deep native integration | ~ Requires Salesforce expertise | ~ API-level only |
| Client IP ownership | ✓ 100% client-owned | ✓ Client-owned | ✗ Platform-dependent |
| Industry-specific use cases | ✓ Pre-built accelerators | ✗ Built from zero | ~ Generic templates only |
Client Outcomes
What Our Clients Say About AI Agent Development
"
We had tried to build an internal AI agent for six months with our own team and kept hitting walls — hallucinations, unreliable tool calls, no governance. Mirketa came in, assessed our architecture, and had a production-ready agent running in eight weeks. The difference was their experience with LangGraph and their trust layer framework. Our compliance team finally signed off.
"
Our clinical documentation process was consuming 3–4 hours of physician time per day. Mirketa built a clinical notes agent that integrates directly with our EHR system and generates structured SOAP notes from voice transcriptions. Physicians now spend 45 minutes on documentation. That time goes back to patient care. The ROI was evident within the first month.
FAQ
You Have Questions. We Have Answers.
The most common questions we hear from enterprise leaders before starting their AI agent development journey.
A chatbot responds to questions using predefined rules or a language model — it answers, but it doesn't act. An AI agent, by contrast, is goal-oriented: it receives an objective, reasons about how to achieve it, uses tools (APIs, databases, web search), takes actions, observes results, and adapts its approach until the goal is accomplished. An agent can execute a multi-step workflow autonomously — a chatbot cannot. Think of the difference between asking someone a question versus delegating a task to them.
The right framework depends on your use case complexity, existing technology stack, and governance requirements. LangGraph is best for complex, stateful, production-grade workflows requiring precise control. CrewAI excels at multi-agent collaboration with role-based design. AutoGen is ideal for Azure-integrated environments. Agentforce is the clear choice if you're deeply invested in Salesforce. We conduct a framework assessment during our Discovery phase and recommend the best option — or a combination — for your specific requirements.
We implement a multi-layered Trust & Governance framework. This includes: Approval Gates that require human sign-off before high-stakes actions (financial transactions, record modifications); Ambiguity Resolution protocols where agents present structured options rather than guessing; bounded retry logic to prevent runaway loops; role-based access controls that limit what each agent can access or modify; and full audit trails for every action taken. We start with maximum oversight and systematically reduce it as the agent demonstrates reliable performance in your environment.
No — and this is one of our core principles. We build AI agents that layer on top of your existing infrastructure using MCP integration and custom API connectors. Your legacy CRM, ERP, databases, and applications become AI-accessible resources without any migration or replacement. We have never required a client to replace a core system to deploy production AI agents.
A focused, single-purpose agent can go from discovery to production in 8–10 weeks. More complex multi-agent systems with extensive enterprise integrations typically take 10–16 weeks. Our pre-built industry accelerators for Healthcare, Financial Services, and Nonprofit significantly reduce development time for common use cases. We provide iterative demos throughout the build cycle so you see progress — and can provide feedback — every step of the way.
Yes — we are experienced Salesforce consulting partners with deep expertise in Agentforce, Einstein AI, and the broader Salesforce platform. We build native Agentforce agents that are deeply integrated with your CRM data, Salesforce Flows, and Apex code. For organizations with Salesforce as their system of record, Agentforce agents often deliver the fastest time-to-value because they have immediate access to your customer data without additional integration work.
You do — 100%. All custom agent code, configurations, prompts, and workflows built during your engagement are fully owned by your organization. We do not retain any rights to your custom implementations. You receive complete source code, documentation, and the knowledge transfer required to maintain and extend the agents independently after our engagement concludes.
Featured Insights
AI Agent Development Intelligence
Practical guides, technical deep-dives, and strategic frameworks from Mirketa's AI engineering team.
🤖
Technical Guide
LangGraph vs. CrewAI vs. AutoGen: Choosing the Right Framework for Your Enterprise
A practical decision framework for selecting the right AI agent technology based on your use case complexity, team expertise, and existing infrastructure.
🛡️
Enterprise Strategy
Building Trust in Autonomous AI: The Progressive Oversight Framework
How enterprise leaders can deploy AI agents with confidence using Approval Gates, Ambiguity Resolution, and Trust Calibration — and systematically earn autonomy over time.
📊
ROI Guide
Measuring AI Agent ROI: The Metrics That Actually Matter for Enterprise Deployments
Beyond cost savings — how to measure the true business impact of AI agents across time-to-completion, error rates, employee satisfaction, and customer outcomes.
Get in Touch
Start Your AI Agent
Development Journey
Our AI engineering team is ready to assess your current environment and identify the highest-ROI agent opportunities. No obligation — just a focused conversation about your specific challenges.
Free Use Case Assessment
We identify your top 3 highest-ROI agent opportunities based on your workflows and data
Response Within 24 Hours
Our team will reach out to schedule your assessment call within one business day
NDA Available on Request
We treat your business information with complete confidentiality from day one
Framework Recommendation
We recommend the right agent framework for your use case — no vendor bias
Talk to Our AI Engineering Team