Build AI agent teams
that work 24/7 for your business
We design and ship AI assistants that don’t just chat — they execute workflows: answer questions with RAG, route tasks, integrate with your systems, and continuously improve with evaluation. Each agent is specialized, uniquely effective, and orchestrated into one coherent “team” that scales with demand.
Operational friction is expensive
When work is trapped in human inboxes and tribal knowledge, response times grow, quality varies, and customers churn. Agent teams turn repetitive tasks into reliable, measurable workflows.
What changes with AI agents
We build specialized agents (support/product/ops/compliance) and orchestrate them into a single, reliable system. You get speed without losing control.
- Instant answers grounded in your knowledge base (RAG)
- Workflow automation with approvals and audit logs
- Consistent tone & policies via system prompts + guardrails
- Continuous improvement via evaluation and feedback loops
RAG knowledge assistants
Your docs become answers — grounded, citeable, and updated. We implement curated knowledge bases, smart retrieval, and source citations (title / URL / section).
Multi-agent orchestration
Specialized agents (support, product, compliance, escalation, etc.) collaborate behind the scenes and produce one final, consistent response — optimized for the user’s goal.
Workflow automation
Agents that execute: triage, summarize, classify, draft replies, create tickets, update CRM fields, generate reports — with human-in-the-loop approvals when needed.
Integrations
We connect agents to your stack: APIs, databases, ticketing, Slack/Telegram, CRMs, storage, analytics. Clean interfaces, retries, and observability included.
Security & guardrails
Prompt-injection defense, topic constraints, policy enforcement, PII redaction, token-based auth, and least-privilege access. Designed for real production risk.
AgentOps: eval + monitoring
You can’t improve what you can’t measure. We add evaluation datasets, quality scoring, cost tracking, tracing, and regression checks before every release.
Discovery & ROI mapping
We identify high-leverage workflows, success metrics, and constraints (security, data, latency, tone, legal).
Pilot in days
We build a thin end-to-end prototype (RAG + routing + UI/API) so stakeholders can test and iterate immediately.
Hardening for production
Guardrails, auth, rate limits, logging, evaluation, and deployment (Docker, Nginx, cloud/on-prem).
Continuous improvement
Feedback loops, QA datasets, monitoring, and iteration cycles so the agent team gets better every week.
Customer support
Instant answers from your KB, ticket drafts, smart escalation, and consistent policy enforcement — across chat, email, and voice.
Sales enablement
Qualification, call notes, follow-ups, objection handling, CRM updates, and proposal drafts — so sales spends time selling.
Internal operations
Process bots that handle repetitive operations tasks: approvals, routing, reporting, and coordination across teams.
People & onboarding
Policy Q&A, onboarding guidance, and “how we do things” assistants grounded in your internal docs and SOPs.
Quality & compliance
Automated checks, evidence-based summaries, and traceable outputs with citations and audit logs.
Analytics copilots
Ask questions in plain English: generate dashboards, narratives, and “what changed and why” summaries from your data.
Do you build “chatbots” or real agents?
We build real agents: systems that retrieve knowledge, follow policies, execute workflows via integrations, and are measured with evaluation. Chat UI is optional — the core is an API-first automation layer.
How do you prevent prompt injection and unsafe behavior?
We implement strict system rules, document-as-data (not instruction), topic constraints, red-team testing, and safe tool usage. Sensitive actions are protected with least-privilege permissions and optional human approvals.
Can we deploy on-prem or in our VPC?
Yes. We commonly ship Dockerized services with Nginx routing, token auth, and persistent vector storage. Deployment can be cloud, on-prem, or hybrid depending on your constraints.
How do you ensure answers are accurate?
We use retrieval with citations, curated sources, and evaluation sets (golden questions). Every release can be regression-tested against your real scenarios to prevent quality drift.
Ready to launch your AI agent team?
Tell us your workflow, data sources, and constraints. We’ll propose a pilot that delivers measurable outcomes fast — and a path to production.
Note: We tailor each solution to your business. We do not guarantee specific results, but we design for measurable KPIs and continuous improvement.