TECHNOLOGY & ENGINEERING
Connected experiences. Trusted business systems.
See how text, voice, visual, document, and system context can connect to trusted business platforms through governed AI and engineering.
IN PLAIN TERMS
Start with the business view.
Begin with what the system changes for the business, then inspect the reference architecture and technical capabilities.
We design customer and employee experiences around the work people need to complete. A portal, mobile app, community, chat, or agent may be the interface, while CRM, accounting, service, and product platforms remain systems of record. Salesforce, HubSpot, GoHighLevel, and other platforms can be part of a solution where they fit. Identity, permissions, approvals, evidence, and exceptions are designed with the workflow.
- Agentic
- Software that can plan and complete defined steps through connected tools, within permissions and checkpoints you set.
- MCP connector
- A standard way for an AI system to use an approved tool or data source, subject to the access controls you define.
- Identity graph
- Connecting a customer or account across the channels and systems you use, with confidence and permission checks.
- Orchestration
- The traffic control that decides which step runs next, remembers context, and handles what fails.
HEADLESS EXPERIENCES
Put the right experience in a customer portal, partner workspace, mobile app, or agent while existing systems keep the records and business rules. We define the API, identity, and data boundaries before choosing an interface.
AGENT CONTROLS
Define what an agent can access or change, when a person approves, how an exception is handled, and how each action is tested, observed, and reconstructed.
PLATFORMS & SYSTEMS
Start with the systems you already use.
These are examples of ecosystems we can assess and connect for customer growth and operations. We confirm access, API fit, permissions, and scope before proposing an integration.
CRM & customer operations
Customer records, sales, service, and lifecycle workflows.
Community & collaboration
Conversation signals, requests, approvals, and human handoffs.
Finance & payments
Billing, payment events, reconciliation, and operating records.
Digital products & commerce
Customer-facing journeys, product data, and connected transactions.
Platform names are examples of potential integration contexts, not partnership or certification claims. NeoAistriq has formal platform relationships with OpenAI and ElevenLabs. Those relationships strengthen implementation capability without changing our platform-agnostic approach: we select technology around customer fit, access, risk, existing systems, and operating needs.
Portfolio capability example: Arena ID covers identity, credentials, and agreements. This is product evidence, not a security certification or a claim of enterprise CRM deployment.
Discuss your architectureNATIVE-FIRST SELECTION
Use what already works before adding custom complexity.
We assess licensed capabilities and configuration first, then compare rules-based automation, integration, and custom engineering against the required interaction modality, context, latency, value, access, reliability, portability, and ownership.
REFERENCE ARCHITECTURE
How multimodal context becomes governed action.
Text, voice, image, video, document, and system inputs can provide intent and context. Permissions and required approvals are defined before action and enforced throughout the loop; implementation changes with your systems, controls, and operating context.
Intent + Context
Text, voice, visual, document, or system context arrives
Reason
Identity, context, retrieval, and intent inform the next step
Govern
Permissions, policy, and human checkpoints apply
Act
Approved work reaches the system of record
Learn
Evidence improves the next decision
Legend, example tools per layer (illustrative, not required)
- Reasoning
- GPT · Gemini · Claude · open-weight
- Orchestration
- LangGraph · Temporal · n8n · native agent runtimes
- Connectors
- MCP · REST/GraphQL · webhooks · adapters
- Experience
- Text · voice · image · video · documents · apps
- Systems of record
- Salesforce · HubSpot · Zoho · ERP · service platforms
- Data & identity
- Postgres · warehouse · vector retrieval · identity services
ENGINEERING CAPABILITIES
The capabilities behind the working system.
We combine only the capabilities the workflow requires. These are implementation building blocks, not separate products a buyer needs to assemble.
01
MCP Connector Engineering
We use maintained connector patterns for community, CRM, commerce, and other business platforms, then validate each connection for the engagement.
02
Multi-Agent Orchestration
Graph-based stateful agent networks, built on LangGraph, Temporal, or the workflow engine you already run. Not demos: production systems that handle branching, memory, and failure.
03
Data & Identity Engineering
Unified identity graphs, community-to-CRM pipelines, and cross-platform audience unification.
04
AI Governance & Assurance
We scope evaluation, observability, access controls, and review requirements to the workflow, risk, and approved engagement.
05
AI Product Engineering
Prototyping and production engineering for conversational, voice, visual, document-aware, and multimodal product experiences.
06
Models & Agent Orchestration
Model evaluation, selection, and vendor-neutral routing, via a gateway such as OpenRouter or direct provider APIs, for production cost efficiency.
07
Platform Modernization
Headless CRM/ERP architecture, legacy replatforming, and schema normalization.
READY TO APPLY THIS?
Find the entry point that fits your stack.
Not every business needs the same capability first. Tell us your goal, operating context, systems, and next decision. We will confirm the scope and right starting path together.