Your Systems Are Already Built. Your AI Should Work Around Them.
Mobcoder AI designs and deploys custom agentic AI systems that plug directly into your existing stack - automating complex, multi-step workflows with the governance and audit trails enterprise teams require.
Book a Discovery Call with Mobcoder AI
45 minutes. No pitch deck. A straight conversation about what's buildable for your business.
What Makes Mobcoder AI's Agentic Workflow Different
Plugs Into What You Already Have
Salesforce, SAP, Epic, HubSpot, Jira, Slack, your internal APIs — Mobcoder AI builds the integration layer so your agents operate inside your existing environment from day one. No infrastructure rebuild required.
Governed, Auditable, and Secure
Every agent Mobcoder AI deploys ships with defined decision boundaries, scoped tool permissions, full audit logging, and human-in-the-loop checkpoints. Your legal, security, and compliance teams get complete visibility from the start.
Production-Grade, Not Demo-Grade
Mobcoder AI doesn't ship agents that work in demos. Every deployment goes through adversarial testing, edge-case simulation, and behavior validation before go-live. 90% task completion accuracy in production — not just controlled environments.
Different Agentic AI Frameworks to Build an AI-Native Workflow
Not every workflow needs the same architecture. Mobcoder AI selects and combines the right frameworks based on your use case, integration complexity, and governance requirements — never defaulting to what's popular.
LangGraph
Best for: Complex, stateful multi-agent workflows with branching logic and human escalation points Mobcoder AI uses LangGraph to build agent systems that maintain state across long-running workflows, handle conditional decision trees, and route exceptions to human reviewers automatically. Ideal for enterprise operations, compliance workflows, and multi-department coordination.
CrewAI
Best for: Role-based multi-agent collaboration where specialized agents work in parallel When a workflow requires agents with distinct roles — a researcher, an analyst, a writer, an approver — CrewAI gives Mobcoder AI the orchestration layer to coordinate them efficiently. Strong fit for content pipelines, research automation, and multi-stage data processing.
AutoGen
Best for: Conversational multi-agent systems and autonomous task execution Mobcoder AI deploys AutoGen for use cases where agents need to converse, collaborate, and self-correct to complete a task — without constant human prompting. Particularly effective for code generation, technical analysis, and iterative problem-solving workflows.
MCP (Model Context Protocol)
Best for: Deep, secure integration with enterprise tools and data sources Mobcoder AI uses MCP to give agents structured, permissioned access to your internal systems — Salesforce, SAP, Jira, Slack, databases — without exposing unnecessary data or creating security gaps. Every tool call is traceable and scoped precisely.
Custom Multi-Agent Architecture
Best for: High-complexity enterprise deployments where off-the-shelf frameworks aren't enough For Mobcoder AI's most demanding builds — like the 10-agent GovGig federal contracting system — we design proprietary orchestration logic on top of foundational frameworks. Built for workflows where task complexity, regulatory requirements, and scale exceed what standard tooling can handle.
Foundation Models
We Build On
We select the right model for your requirements, not the most recognizable name.
Impact of Agentic AI
In Production
Meet The Team
You're Booking a Call With
When you book a discovery call with Mobcoder AI, you're not talking to a sales rep. You're talking to the people who actually build the systems.
250+ AI engineers, ML specialists, and integration architects behind every build.
Marc Rothmeyer
Co-Founder & CEO, Mobcoder America 30+ years delivering enterprise technology solutions across industries. Marc leads Mobcoder AI's US client relationships and brings the kind of battle-tested judgment that separates AI projects that work from those that don't.
Girijesh Kumar
Co-Founder & Director 14+ years driving innovation and technology strategy. Girijesh oversees Mobcoder AI's product vision and delivery — turning complex business requirements into agentic AI systems that perform in production.
Christopher Chorney
Chief Technology Officer 20+ years at the cutting edge of technology, including multiple patents in spatial and systems innovation. Chris leads Mobcoder AI's technical architecture — ensuring every agentic system we ship is built to enterprise standards.
250+ AI engineers, ML specialists, and integration architects behind every build.
Happy Clients.
Happy Us.
A Valuable Development Partner
Mobcoder AI's support resulted in the successful release of the apps and the onboarding of thousands of new customers. The professional team worked hard to deliver high-quality work according to schedule. They were highly committed, easy to work with, and efficient throughout.
Ousmane Ouane
VP Product & Business, Sportstech Brands Holding GmbH
Professional and Highly Committed
Direct yet flexible, Mobcoder AI serves as a valuable development partner. They advise on scoping, work within the client's time zone, and are keen on trial-and-error delivery — a perfect fit for our workflow.
Todd Williams
CEO, Booking System Software
On-Time Delivery
Mobcoder Inc delivered the project on time, and the app didn't have any bugs and had a fast response time. The team was flexible and accommodating to changes even after development. They had a practical approach to the project and communicated through in-person and virtual meetings.
Mohit Mathur
Vertical Head, Cult Fit
What Your 45 Minutes With Mobcoder AI Looks Like
You walk us through your workflow, your current systems, and the problem you're trying to solve. We listen. No slides on our end.
Mobcoder AI maps where agentic AI creates the highest-ROI automation opportunity for your specific environment — and where it doesn't.
You get a direct, honest assessment. What's buildable, what it would cost, and what ROI looks like based on what we've built for similar organizations.
Ready to See What Mobcoder AI
Can Build for You?
Discovery calls are capped at 2 per week to keep them genuinely useful.
FAQs
Is Mobcoder AI the right fit if we've already tried an AI vendor and it didn't work?
That's one of the most common situations we walk into. Bring the details of what was built and what failed. Understanding the previous attempt usually tells us exactly where to start.
How is agentic AI different from traditional automation (RPA)?
RPA follows fixed, pre-scripted rules and it breaks the moment a process changes. Agentic AI can reason, adapt, and make context-aware decisions across systems without needing every step pre-programmed. RPA automates tasks; agentic AI automates decisions.
How much human oversight is needed? Can the agents act completely on their own?
Oversight level is a design choice, not a default. Most enterprises use human-in-the-loop by design, agents handle monitoring and recommendations continuously, but a person approves high-stakes actions like pricing, compliance or customer-facing decisions before they go live.
How quickly can Mobcoder AI get something into production?
A focused single-agent workflow typically goes from scoping to production in 3-4 weeks. Multi-agent systems with complex enterprise integrations run 10-12 weeks. We give you a realistic timeline in the discovery call, not a number designed to win the deal.
Does Mobcoder AI work with our specific platform?
Certainly. We've integrated with Salesforce, Epic, SAP, HubSpot, Jira, ServiceNow, Slack, and custom internal APIs. If you have a data connection point, Mobcoder AI can build around it.