Automate work with GenAI copilots and agents—connected to your tools, policies, and data.

Generative AI & Intelligent Automation

Build GenAI systems that act, not just chat—safely and reliably.

Byond Boundrys builds production-ready GenAI: RAG knowledge assistants, tool-connected copilots, AI agents, document automation, and workflow orchestration—with guardrails, evals, and observability from day one.

Get an automation roadmap Explore capabilities ↓ Pilot (RAG/agent): 2–3 weeks
Production rollout: 4–8 weeks

Outcome

Hours saved, faster decisions

Automate repetitive work and accelerate analysis—without replacing your existing tools.

Quality

Evaluation-first delivery

Test sets, regression checks, and reliability metrics—so outputs improve over time.

Safety

Guardrails + observability

Role-based access, policy checks, prompt-injection defense, and full audit trails.

Fast Track

GenAI Discovery Sprint

Ideal when you want clarity before building. We validate feasibility, data readiness, risks, model choices, costs, and ROI for a GenAI copilot or agent workflow.

⏱ 5–10 days

What you get

Use-cases + success metrics
RAG/agent architecture + tools plan
Eval suite + guardrails plan

Best for

Knowledge assistants
Document automation
Ops workflows & approvals

Book a sprint

Prefer email? hello@byondboundrys.com

What we deliver

GenAI workflows built for trust.

Agents connected to tools, with approvals and guardrails—so teams can automate safely and stay in control.

Request proposal

Deliverables (standard)

RAG pipeline + vector search
Agent workflows + tool integrations
Guardrails + eval suite + regression
Observability + logs + audit trails

Outcome

Reliable GenAI features in production—measurable, monitored, and maintainable.

Our build process

Scope → RAG → Agents → Eval → Prod

Use-cases & controls

Roles, tools, policies, success metrics.

Knowledge ingestion

Chunking, embeddings, retrieval strategy.

Agent workflows

Tools, approvals, retries, orchestration.

Evaluation & monitoring

Test sets, regression, observability.

Tech we use

GenAI stack (production-ready)

We can use your preferred model provider (OpenAI/Azure/Gemini) and your preferred vector DB (Postgres pgvector, Pinecone, etc.).

Generative AI capabilities

Build copilots, agents, and automation that integrates with your data, tools, and policies.

Request proposal →

RAG Knowledge Assistants

Search and answer over your PDFs, SOPs, tickets, and internal docs with citations.

Chunking + embeddings

Hybrid retrieval

Citations + guardrails

Tool-Connected Copilots

Assistants that can take actions: create tickets, draft emails, update CRMs, generate reports.

RBAC + approvals

Action logs

Rate limits

AI Agents & Orchestration

Multi-step agents that plan, call tools, retry, and notify—with human-in-the-loop when needed.

Workflow steps

Approvals

Retries + fallback

Guardrails & Safety

Prompt injection defense, policy controls, evaluation suites, and audit trails.

PII protection

RBAC

Eval suite

Audit logs

Document Automation

Extract, summarize, classify, and generate outputs from PDFs, emails, and forms.

Extraction + templates

Approval flows

Audit trails

GenAI Evaluation & Monitoring

Benchmarks, test prompts, regression checks, latency/cost monitoring, and quality tracking.

Golden test sets

Human review loop

Cost controls

Internal Search (Enterprise)

“Ask your company” search across docs, tickets, and knowledge bases—secure and permission-aware.

Permissions

Hybrid search

Citations

Multi-Language Support

Localized assistants and document workflows across languages with consistent policy control.

Translation workflows

Prompt templates

Eval by locale

Integrations

Connect GenAI to your apps: CRM, WhatsApp, email, tickets, databases, and internal tools.

API + webhooks

Secure auth