01 / INTENT
Intent-first workspaces
Bring questions, decisions and business actions together in a conversational workspace.
CONNECTED INTELLIGENCE. BUILT FOR BUSINESS.
Your business.
An AI-native future.
Meet the emerging AI-native business operating environment. Connect the systems you already trust, coordinate intelligent agents, and move toward personalized workspaces that adapt to your goals. Start today with governed workflows and integrations.
Less repetitive workCoordinated Agent TeamsDesigned for enterprise scale
FROM BUSINESS CHALLENGE TO WORKING SOLUTIONExplore what we build
OUR PRODUCT VISION · EVOLVING PLATFORM
Beyond applications.
Toward an intelligent operating environment.
Describe an outcome rather than navigating disconnected screens. Mesh is evolving to connect business capabilities, coordinate agents and compose the right interface for each task.
02 / CONNECT
Business capability fabric
Make approved operations discoverable across existing systems, with typed contracts and scoped permissions.
03 / COMPOSE
Hybrid generative applications
Combine reliable fixed screens with task-specific, AI-composed interfaces and reusable workspaces.
04 / COLLABORATE
Agent interoperability
Let specialist agents coordinate across application boundaries while trusted services execute business operations.
05 / GOVERN
Enterprise-grade control
Keep identity, tenant isolation, approvals, auditability and operating cost visible at every step.
06 / GROW
Open business ecosystem
Build on adaptable Solution Packs, connectors and reusable agent skills rather than replacing everything.
Product direction: Our current platform includes governed agents, knowledge retrieval and workflow foundations. Generative applications, the business capability registry and cross-application agent interoperability are planned enhancements, not generally available capabilities.
MODERNIZE WITH PURPOSE
Keep what works.
Connect what comes next.
Disconnected applications. Documents nobody can find. Teams copying the same information between screens. These are business problems worth solving.
Mesh Systems combines enterprise architecture, hands-on integration and practical AI engineering to help you reduce manual effort, improve service and modernize in manageable steps.
01Use your existing investments
Connect approved APIs, databases and business applications.
02Start with a measurable outcome
Prove one workflow before expanding across the organization.
03Keep people in control
Build permissions, approvals and escalation into the solution.
WHAT WE CAN BUILD WITH YOU
Intelligence meets
integration.
From a focused assistant to connected operations, choose the capabilities your business needs.
01 / ASSIST
Agentic AI assistants
Help teams ask questions, gather context and carry out approved tasks through a single conversational experience.
Explore the capability
- Task-specific instructions and tool selection
- Clarification when information is missing
- Human review for sensitive actions
- Bounded execution and evaluation scenarios
02 / UNDERSTAND
Knowledge & RAG
Turn approved manuals, policies and operational documents into searchable, source-backed answers.
Explore the capability
- Document ingestion and retrieval pipelines
- Citations and access-aware knowledge search
- Freshness and content-owner workflows
- Answer quality and unsupported-claim checks
03 / CONNECT
APIs & legacy integration
Connect business applications and third-party services so teams spend less time moving information by hand.
Explore the capability
- Adapters for existing .NET and business APIs
- CRM, ERP and operational data connections
- Validation, error handling and safe retries
- Performance, caching and integration telemetry
04 / EXTEND
MCP clients & servers
Expose selected business tools through Model Context Protocol so compatible AI experiences can use them.
Explore the capability
- Purpose-built MCP servers and client integration
- Explicit tool contracts and scoped permissions
- Approved destinations and input validation
- Auditable execution through existing services
05 / ORCHESTRATE
Workflow automation
Combine real Agent steps, typed decision branches, scoped Knowledge and human approval in reviewable Workflows.
Explore the capability
- Configurable workflow definitions
- Approval steps and escalation paths
- API calls, knowledge retrieval and structured outputs
- Versioning, testing and controlled rollout
06 / OPERATE
Platforms built to grow
Start with shared workers and grow into reserved concurrency or dedicated enterprise capacity.
Explore the capability
- Tenant-aware identity and role-based access
- Deployment pipelines and environment separation
- Planned shared workers, dedicated node pools and independent scaling
- Capacity controls, metered usage and evaluation
- Operational handover and managed support
BUSINESS ROLES. SHARED FOUNDATIONS.
Start where the friction is.
Build on reusable Customer Service, Sales and Operations templates, then configure your own knowledge, rules and approved operations.
Customer Service
Ground responses in approved guidance, retrieve permitted records and prepare a clear escalation when a person should take over.
Explore Solution Packs →Sales
Collect missing information, consult product knowledge and prepare reviewable summaries using approved Tools.
Configure an Agent →Operations
Coordinate requests with durable Workflows, explicit approval steps and visible execution attempts.
Explore Workflow Studio →AGENT TEAMS · WORKING IN DEVELOPMENT
One goal.
An entire team of intelligence.
Give specialist Agents distinct roles, approved Knowledge and defined responsibilities. A supervised coordinator brings their results together while the platform keeps work bounded and observable.
01 / COORDINATECoordinator AgentUnderstands the request and synthesizes specialist findings
02 / RESEARCHKnowledge SpecialistRetrieves scoped documents and citations
03 / PREPAREResponse SpecialistPrepares a complete, reviewable draft
04 / GOVERNWorkflow decisions + human approvalApproved rules, explicit review and execution evidence
ENGINEERED FOR CONTROL
Agents that collaborate.
Actions that stay accountable.
Our development Portal has exercised real multi-Agent model calls, scoped policy retrieval, structured fact extraction, conditional routing, human approval and rejection, and complete cited response drafts.
Version-pinnedReproducible Agent and Team configurations
Knowledge-groundedProject-scoped retrieval and source evidence
Supervised executionExplicit permissions, approvals and trace history
Fail-closedInvalid facts and incomplete outputs don't silently proceed
Availability: Validated in controlled development and UAT scenarios. Dynamic model-selected delegation, unattended email, live Web Search, durable recovery and dedicated tenant node pools remain planned or deployment-dependent.
Explore Agent Teams ↗MESH AI PLATFORM · IMPLEMENTED WORKSPACESFrom specialist Agents
From specialist Agents
to governed Workflows.
Build with immutable Agent and Team versions, source-grounded RAG, typed Workflow decisions, native approvals, and actual execution traces. Our controlled UAT has validated agent-assisted request extraction, policy checks and reviewed customer-response drafts.
Reference architecture illustration
AGENTIC WORKFLOW / REFERENCE DESIGNSCOPED EXECUTION · HUMAN IN CONTROL
01 · INTAKECustomer requestNatural-language input
02 · AI AGENTExtract verified factsStructured output · validation
03 · KNOWLEDGERetrieve policyScoped RAG · citations
04 · DECISION ENGINEValidate policy conditionsTyped rules · deterministic routing
STANDARD PATH
Proceed to draftNo supervisor review needed
REVIEW PATH
Human approvalApprove or reject · auditable
05 · AI AGENTPrepare grounded responsePolicy citation · complete draft · no automatic external send
Version-pinned AgentsBranch tracesLeast-privilege accessApproval evidence
Illustrative workflow built from capabilities validated in supervised development UAT. It is not a live Portal screenshot or a claim of production availability.
Compose Agent Teams.
Define role-specific Agents, pin versions, scope Knowledge and coordinate specialist execution.
Agent Teams guide →Connect with control.
Configure authentication profiles and read-only API operations through the authorized Gateway.
Integration Hub guide →Operate with evidence.
Inspect conversations, run attempts, trace metadata, quotas and logical worker pools.
Operations guide →Explore the current experience and its deployment requirements.
Read the documentation ↗BEHIND THE MESH AI PLATFORM
Enterprise engineering.
Built into every layer.
Real AI automation needs more than prompts. Mesh combines identity, scoped access, versioned orchestration, model choice and traceable operations to connect intelligence with existing business systems.
Identity-first, least-privilege access
OIDC sign-in, Tenant and Project permissions, version-pinned Agent grants and runtime access checks keep identity separate from what an AI Agent is allowed to do.
Implemented and exercised in developmentGoverned Agent and Workflow execution
Specialist Agent steps, typed decision branches, human approval and rejection, bounded execution and detailed run evidence support predictable business processes.
Validated in controlled UATModel choice without lock-in
Approved model profiles connect Agents to configured inference providers. Track model calls and tokens while preserving the option to select the right model for each job.
Configured multi-model support; automatic intelligent routing is plannedWork with your existing systems
REST integration, authorization profiles, read-only Tool operations and MCP-aligned interfaces help add intelligence around existing applications and APIs.
Connector capabilities vary by provider and deploymentObservability that follows execution
Inspect step state, traces, provider activity, retries, approval decisions and model usage. Detailed cost attribution and enterprise monitoring continue to evolve.
Execution evidence implemented; expanded analytics plannedDesigned for isolated, scalable workloads
Container-based services and Tenant-aware execution form the foundation. Dedicated node pools, autonomous scaling and dedicated model services are planned enterprise deployment options.
Deployment and isolation profiles require individual validationTHE NEXT WAVE
From supervised workflows to connected operations.
On our roadmap: governed internet research, approved email drafting and sending, durable session recovery, intelligent model routing, and dedicated enterprise capacity.
CONVERSATIONAL CUSTOMIZATION · PLANNED
Describe the improvement.
Review the result.
Request a dashboard, field, screen or workflow change within your project. The planned app agent prepares a development version and preview, with controlled release to your customer app.
Extend your base app
The agent uses your authorized project source, pack configuration and API contracts. It asks for missing business requirements.
Test the change
Isolated development branches, build checks and private previews help you review behavior before release.
Approve and deploy
Authorized promotion publishes a versioned app artifact with its required workflow and API contracts.
Keep improving
Track releases, review pack upgrades and restore compatible app versions. Database migrations have their own recovery requirements.
YOUR DATA, CONNECTED WITH CLEAR BOUNDARIES
Keep your systems.
Choose where new data lives.
Existing APIs and databases remain customer-owned. Approved connectors, private gateways or configured connectivity expose selected business actions. New app data can use Mesh-managed storage or an approved customer backend.
- Server-side accessDatabase credentials stay outside browsers, app source and agent prompts.
- Scoped permissionsApp access does not automatically grant access to underlying records.
- Reviewed changesPrompts cannot bypass permissions or silently alter customer database schemas.
- Agreed deploymentHosting, source access, backups and data handling are confirmed for your profile; private connectivity alone does not mean private inference.
This is the planned product direction. Solution templates, built-in CRM and app generation are not general-availability services. Selected data can be processed by Mesh or configured model providers under the agreed policy.
PLANS & SCALE · PLANNED
Start small.
Scale with confidence.
Begin with a focused workflow and shared execution resources. Grow into higher concurrency and dedicated enterprise capacity, with clear visibility into usage and cost.
A low-cost starting point
Shared workers with tenant access controls, usage allowances and clear overages. Prove a useful workflow before expanding.
More work in parallel
Reserved concurrency, higher limits and configurable budgets as adoption grows. Shared workers remain a shared compute environment.
Your dedicated capacity
Choose a dedicated VM-backed tenant node pool with independent scaling, agreed minimum capacity and expansion limits.
Built around your requirements
Discuss customer-cloud deployments and dedicated data or inference services. Availability and operating scope are agreed separately.
EXECUTION AND INFERENCE · SEPARATE CHOICES
Choose your capacity.
Choose your intelligence.
Dedicated tenant workers can use shared inference. Start with approved hosted models; future Mesh-managed model pools are intended to serve multiple customers efficiently, with tenant-scoped context and usage controls.
Discuss your starting plan- Flexible model servicesHosted APIs, planned Mesh shared pools or separately scoped dedicated endpoints.
- Documents and voiceOptional OCR, document understanding, speech-to-text and spoken responses are planned.
- Clear usageDisclosed units for workflows, model usage, document pages and audio services, with included allowances and budget visibility.
- Capacity commitmentsDedicated reservations are charged while available, including idle periods. Included capacity is not billed again as overage.
These profiles and model services are planned, not released subscriptions. Shared execution provides logical tenant isolation; dedicated pools add execution compute isolation. Shared inference processes selected customer inputs and does not automatically provide private deployment. Rates, data handling, supported languages and service terms are confirmed before onboarding; shared services and provider limits still apply.
FROM FIRST CONVERSATION TO DAILY USE
Small enough to prove.
Designed to grow.
Modernization works best when delivery is grounded in your operations, not a long list of disconnected technology projects.
Discover
Map the bottleneck, review systems and access, and agree a baseline and success criteria.
OUTCOME / A PRIORITIZED PLANProve
Build one bounded workflow. Test with representative questions, data and business exceptions.
OUTCOME / A MEASURABLE PILOTLaunch
Prepare identity, permissions, deployment, monitoring and training for a controlled rollout.
OUTCOME / AN OPERABLE SERVICEImprove
Review adoption, quality and cost. Expand the workflows that demonstrate useful results.
OUTCOME / CONTINUOUS IMPROVEMENTENGINEERING BEHIND THE EXPERIENCE
Useful AI needs dependable foundations.
We design for scoped access, explicit tool permissions, traceable outcomes and human oversight. Controls are selected and tested for each engagement.
- Identity & accessEnterprise sign-in and least-privilege roles
- Knowledge boundariesApproved sources and tenant-aware retrieval
- Execution controlsValidation, approvals and predictable failure paths
- Quality & operationsEvaluation, observability and ownership
INTEGRATION-FIRST ENGINEERING
Existing business APIs
Governed Workflows
Approved data sources
Approved model services
MCP
EXPERIENCE THAT CONNECTS THE DOTS
Business context.
Architectural depth.
Hands-on delivery.
Led by Ramin Rownaghi, Mesh Systems brings more than 20 years of software development, enterprise architecture and technology leadership experience to practical AI delivery.
Experience across business applications and complex third-party integrations shapes our approach: understand the operating reality, protect the systems of record, and build something teams can actually use.
Advisory & architecturePilot & implementationOngoing improvement
BEFORE WE BEGIN
Good questions.
Clear starting points.
Do we need to replace our existing software?
Usually the first step is to connect and improve what you already have. We review existing APIs, data access and vendor constraints before proposing replacement or deeper modernization.
How do we know whether AI will save time or money?
We define a baseline and measure a pilot against agreed outcomes such as handling time, re-entry, answer quality and adoption. Time released is not automatically cash savings; the business case includes delivery, hosting, provider and support costs.
Can an assistant change records or approve transactions?
Only within the scope and controls agreed for the engagement. We normally start with read-only assistance. Write actions need explicit permissions, validation, approval rules and recovery paths. Regulated decisions remain subject to your authorized people and systems.
Can you work with our chosen AI or cloud provider?
We assess compatibility, data handling, performance and cost with your requirements. The approach can use approved model APIs and existing cloud services; provider choice is part of solution design.
Is the tenant portal available as a public SaaS product?
The portal has implemented authoring and operational workspaces. Public hosted onboarding and production service commitments remain deployment-dependent. Consulting and pilot scopes are agreed individually; hosted access, service terms and release availability will be confirmed before onboarding.
How will Mesh AI scale for enterprise workloads?
The planned architecture starts with shared workers and tenant quotas. Enterprise customers can choose dedicated execution node pools that scale within agreed capacity and budget limits. Dedicated compute reduces contention between tenant workloads; shared services and model providers retain their own limits. Capacity and service objectives are confirmed through workload testing before production onboarding.
How is dedicated capacity charged?
The proposed model combines a platform subscription and usage beyond included allowances, plus optional reserved concurrency or dedicated capacity, model usage, storage/network services and selected support. Reserved capacity is charged while idle; included capacity is not billed again as expansion. Final rates, included usage and service terms are agreed in your proposal.
Can we start without dedicated servers?
Planned Starter and Growth profiles use shared workers with tenant controls, fair scheduling and quotas. Dedicated enterprise pools are an upgrade. Shared workers provide logical isolation, rather than dedicated VMs.
Can Mesh serve multiple customers from its own models?
The proposed model gateway can route customers to Mesh-managed shared endpoints while keeping tenant context, credentials and knowledge access separate. Dedicated workers can use shared inference. Deployment and data-handling requirements are agreed before production use.
Can we add voice and document processing?
Optional OCR, document understanding, voice transcription and spoken responses are planned. Supported models, languages, accuracy, latency and charging units are confirmed for your deployment.
Can Mesh be our first CRM?
The built-in CRM remains planned. The proposed modules cover common customer, lead, task and request records. You can also connect an existing CRM or choose a hybrid with explicit record ownership.
Can we extend our app with prompts?
The planned project-scoped app agent prepares changes in a development version, runs checks and creates a preview. Authorized release follows review; database and permission changes remain controlled.
Do we need to move our existing database?
No. Approved connectors access selected APIs or database operations where they are hosted. Private systems need an approved connectivity path. New app records can use separately configured Mesh-managed or customer-provided storage.
What should we bring to a discovery conversation?
One repetitive workflow, an accountable process owner, the systems involved and a rough baseline. Sample documents and API details can follow through an agreed secure channel—never put passwords or confidential records into an initial inquiry.
LET'S FIND YOUR FIRST USE CASE
Less friction.
More possibility.
Start with the work your team wishes took less time. Prepare a short discovery brief to shape the conversation.
One clear starting point is enough.
A process, a bottleneck and a business owner. We can work through the technical details together.