AI Products · Agentic Platforms · Enterprise Automation

Build AI that actually does the work.

HeyHica designs AI products, autonomous multi-agent platforms, and enterprise workflow automation that connect knowledge, systems, and people to measurable outcomes.

Rapid, bounded POCsEnterprise-ready architectureGoverned autonomy
What we build

Three ways to move from AI interest to working capability.

Choose a focused AI product, deploy a multi-agent platform, or redesign a workflow around the systems you already use.

AI PRODUCTS

Education AI Products

Student-facing and advisor-facing AI experiences for personalized learning, academic guidance, and advising productivity.

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AI PLATFORM

Autonomous Deal Negotiation

A governed multi-agent platform for vendor outreach, quote analysis, negotiation strategy, approvals, comparison, and recommendations.

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AI SERVICES

Agentic AI & Workflow Automation

Customer-specific AI solutions that connect knowledge, APIs, workflow systems, approvals, and human decision makers.

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Vision & mission

AI should move work forward.

Our vision is a world where AI works alongside people across real systems, knowledge, and workflows. Our mission is to turn AI experimentation into secure, measurable, production-ready outcomes through practical architecture and governed autonomy.

Outcome first

We start with the business or educational outcome, then choose the smallest architecture that can prove value.

Human authority stays explicit

High-impact decisions and sensitive actions are approval-controlled, traceable, and aligned to customer policy.

Reuse what already works

Existing enterprise platforms and systems of record remain central. Custom AI orchestration is added where reasoning and state create clear value.

Delivery speed

Start small. Prove value. Scale what works.

Fast delivery for tightly bounded use cases, with enterprise timelines shaped by integrations, identity, security, data access, and governance.

1–2 weeksRapid proof of concept for tightly scoped workflows using available, synthetic, or de-identified data.
2–4 weeksFocused MVP for contained solutions with limited integrations and clearly defined users.
Enterprise pilotCustomer-specific timeline for live integrations, SSO, policy controls, production support, and security review.
Enterprise AI architecture

Built for real systems, not isolated demos.

The architecture is modular so we can select the right model, retrieval layer, orchestration approach, and deployment model for each customer.

Experience

Next.js, React, TypeScript, responsive role-specific applications and dashboards.

AI Orchestration

Python, FastAPI, LangGraph and explicit stateful workflows for multi-agent reasoning and tool use.

Knowledge & RAG

Document ingestion, OCR, embeddings, hybrid search, reranking, permission filters and source citations.

Data & State

PostgreSQL, Redis, vector stores, object storage and customer-aligned persistence patterns.

Enterprise Integration

REST APIs, webhooks, identity, email, ITSM, LMS/SIS, CRM, calendar, document and procurement systems.

Governance & Observability

RBAC/ABAC, approval gates, audit logs, OpenTelemetry, evaluation suites and private/hybrid deployment options.

ServiceNowMicrosoft 365Google WorkspaceCanvasBlackboardPowerSchoolEllucian BannerSalesforceOktaEntra IDSnowflakeDatabricksSharePointJira
Security by design

Autonomous does not mean uncontrolled.

We design risk boundaries into the workflow: source-grounded responses, scoped permissions, approval gates, auditable actions, safe tool execution, and deployment choices that fit customer policy.

Grounded AI

Approved knowledge sources, citations, confidence checks and escalation paths.

Controlled action

Allowlisted tools, scoped permissions, dry-run modes and approval-before-execution where required.

Traceability

Agent steps, retrieval sources, tool calls, approvals, errors and outcomes can be logged and evaluated.

Deployment choice

Cloud, private, on-prem and hybrid patterns can be selected to match security and data residency requirements.

How we deliver

From use case to working AI.

Discover

Clarify the outcome, workflow, users, systems, data, constraints, and success metrics.

Architect

Separate deterministic automation, AI reasoning, knowledge retrieval, integrations, and approvals.

Prove

Build the smallest end-to-end workflow that demonstrates credible value with measurable results.

Pilot & Scale

Integrate live systems, validate controls, measure performance, and expand only where evidence supports it.

Have a workflow that could use AI?

Tell us the outcome you are trying to achieve. We will help determine whether it needs automation, an AI assistant, a multi-agent workflow, or a complete AI product.

Discuss Your Use Case