Agentic AI Development: Goal-Driven Agents That Ship to Production
Our AI agents don't live in slide decks. Reperks cut 20+ hours to 10-15 minutes per billing cycle. ZURI handles 400+ daily conversations qualifying luxury real estate buyers. Both run on HyperCore, our proprietary agentic framework.
We combine knowledge assistants (RAG) with agentic workflows so users get value directly in your app: shorter cycle times, consistent decisions, and happier customers.
What "Agentic AI" means in practice
Understands a goal
E.g., "approve a refund under policy."Plans steps
Gather data, check rules, propose an outcome.Calls tools safely
Reads/writes via approved APIs with least-privilege access.Asks when unsure
Human-in-the-loop for risk or ambiguity.Explains & cites
Shows why a decision was made, with links to sources.Logs everything
Full audit trail, easy to review and export.
Deployed Agents and Production Proof
Real metrics from systems we built, deployed, and maintain today.
Reperks: AI Agent for Utility Billing
20+ hours reduced to 10-15 minutes per billing cycle. The agent orchestrates document extraction via AWS Textract, German legal compliance checks (BGB §556-560, HeizKV), and triple-validated financial calculations. Each capability runs on a separate deterministic engine, with the LLM coordinating the workflow and explaining results.ZURI: AI Sales Concierge for Vela Zanzibar
400+ daily conversations qualifying luxury real estate buyers across three continents. ZURI's agent architecture combines RAG, second-order intent detection, and a multi-stage visitor classification pipeline. 5,000+ eval assertions on every deployment validate the full agent behavior chain.Signal Iduna: Digital Health Insurance Platform
300,000+ active policyholders on a platform we built and maintain. 100,000+ downloads, 1,400+ clinics, 16% YoY premium growth. Cross-platform system for SIGNAL IDUNA Romania. 2+ year engagement, 8-person team.Trusted Carrier: Chemical Logistics Ecosystem
40,000+ weekly documents across BASF and Henkel facilities in 13 countries. 22 languages, 500+ carriers, 10+ year partnership. AI-powered document classification and data extraction replaced manual processing.
Key business benefits of Agentic AI
From answers to completed work
Agents don't just reply they collect evidence, check rules, propose a decision, and execute with human sign-off where needed.Faster cycle times, fewer handoffs
Routine approvals, onboarding steps, and case updates move from days to minutes with in-app automations and clear ownership.Consistency & compliance
Policies are enforced by design least-privilege access, action logs, and citations keep every decision traceable.24/7 service without extra headcount
Agents run nights and weekends, deflecting volume and freeing experts for the hard problems.Measurable ROI & predictable costs
We launch with baselines, evaluation and cost guardrails (caching, routing tiers, budgets) so gains are visible and spend is under control.
Why HyperSense for Agentic AI?
40% of agentic AI projects get canceled. Ours ship.
Gartner (June 2025) predicts over 40% of agentic AI projects will be canceled by 2027. We've shipped two AI agents to production, both live and verifiable today.Production proof, not promises
Two AI agents live in production today. 300,000+ policyholders and 40,000+ weekly documents on platforms we built. Since 2003, we've shipped complex software used daily.Our own framework
HyperCore is our proprietary agent architecture. No LangChain, no LangGraph. Direct control over model orchestration, token budgets, and the tight integration between AI reasoning and deterministic logic that regulated industries require.Model & cloud neutrality
OpenAI, Anthropic, Google, AWS Bedrock, Azure, or open source. A model-agnostic stance optimizes for latency, privacy, and cost, keeping you future-proof.Security & data governance by design
ISO 9001 and ISO/IEC 27001. Encryption in transit/at rest, SSO/RBAC, agent identities & least-privilege, audit trails, human-in-the-loop, and strict data-usage controls.Eval-driven deployment
5,000+ automated assertions on every code change for ZURI. RAG accuracy, sales behavior compliance, frustration scoring, and long-conversation retrieval persistence tested before anything ships.Domain partnership approach
Engineers collaborate with your operators and leaders to map processes, embed guardrails, and measure impact. After launch, HyperCare operate-and-improve loops keep quality high.
High-impact Agentic AI use cases
Knowledge → action assistant
Employees ask in plain English; the agent answers with citations and offers to do the next step (file a ticket, create a case, update a record).Impact: less context switching, fewer errors, faster resolutions.Decision & approval automation
For credit checks, discounts, refunds, access requests: the agent collects evidence, checks policy, proposes a decision, and routes for approval.Impact: shorter turnaround, consistent compliance, full traceability.Customer support copilot (chat/voice)
Drafts replies, verifies identity, executes safe actions (reset, refund, update), and escalates nuanced cases with a clean summary.Impact: higher FCR, lower AHT, better CSAT.Document & case intake (IDP + actions)
Classify → extract → validate → post invoices, claims, contracts; open or update cases with the right metadata.Impact: less manual entry, faster cycle times, audit-ready trails.Onboarding & KYC flows
Gather documents, check completeness, run screenings,create accounts, and schedule follow-ups.Impact: faster onboarding, fewer back-and-forths, cleaner records.Pricing, promotions & recommendations
Suggest next-best action or price change; apply offers or start approval when thresholds are met.Impact: higher conversion and LTV with explainable controls.Revenue operations hygiene
Find missing fields, reconcile quotes/orders, trigger corrections and notify owners.Impact: fewer billing issues, faster order-to-cash.IT & operations runbooks
Auto-triage incidents, run standard steps, gather logs, and prepare the handoff with a concise brief.Impact: faster MTTR, lighter on-call load.Want something else?
We tailor the same agentic patterns to your process always inside your application, with clear KPIs.
How Agentic AI works
1.
Clarify outcomes and guardrails
We start from your business process and KPI. What should the agent achieve? What must it never do? Where do humans approve?2.
Map tools, data, and policies
Identify systems (CRM/ERP/ITSM), data sources, and rules. Define safe actions and least-privilege access for the agent.3.
Design the in-app experience
Place the agent where users already work copilot panel, sidebar, or flow step with clear explanations, citations, and approval states.4.
Build & integrate (model-agnostic)
Connect models (Claude/GPT/Gemini/Bedrock) via an LLM gateway; add retrieval over your content (RAG) and wire approved actions to your APIs.5.
Evaluate & secure
Add quality, faithfulness, safety, and latency checks; enable logging, rate limits, and human-in-the-loop where risk requires it.6.
Pilot & refine
Launch to a small cohort. Measure the KPI, adjust prompts/policies, and tune costs with caching and routing tiers.7.
Scale & operate
Expand usage with a run-book, dashboards, and MLOps routines (monitoring, regression tests, drift checks).
Plan your AI agent sprint
One deployed agent in 4 weeks, tied to your KPIs. Built on HyperCore. Governance and cost controls from day one.
What you get
A shipped agentic feature
A shipped agentic feature inside your app (e.g., decision & approval automation, support copilot, IDP + actions).Trusted assistive UX
Assistive UX users trust (states, explanations/citations, approvals).Security & governance framework
Security & governance plan, least-privilege access, audit trails, human-in-the-loop.Evaluation tools
Evaluation suite and dashboards for quality, safety, latency.Cost guardrails and usage insights
Cost guardrails (token budgets, caching, routing tiers) and usage insights.Operational run-book
Run-book & training for operations and a 90-day improvement plan.Full IP ownership
You own all code, models, and data pipelines. No licensing fees, no lock-in.
Security, governance & cost control
Certifications
ISO/IEC 27001 & ISO 9001 delivery.Privacy by design
Configurable retention, PII/PHI handling, data residency options.Identity & access
SSO/SAML, RBAC, agent identities, least-privilegeAuditability
End-to-end action logs and exportable trails.Evaluation & safety
Faithfulness/quality/latency scoring, guardrails, red-teamingPredictable economics
Prompt caching, routing tiers, usage budgets, dashboards.EU AI Act ready
Risk classification, transparency documentation, and human oversight controls are architectural, not a label.AWS Partner
We've secured AWS co-funding for 10+ companies in 2025-2026.
Governance Architecture
Governance in HyperCore isn't a compliance checklist applied after launch. It's structural.
Risk-Tiered Agent Controls
Every agent is classified by risk tier based on EU AI Act categories. The tier determines which actions require human approval, what confidence thresholds trigger escalation, how much reasoning the agent must expose, and what data it can access. The classification is configuration, not code.AI Separated from Rule Enforcement
LLMs reason and converse. They don't enforce compliance rules reliably. HyperCore separates these concerns. Legal rules and business logic run in deterministic engines. The AI handles context, explanations, and workflow coordination. Every AI output flows through deterministic validation before reaching the user.Human Approval Routing
Every AI decision carries a confidence score. The governance layer routes decisions: auto-approve (high confidence, low risk), review queue (medium confidence), or escalation (low confidence, high risk). Thresholds are configurable per agent and per action type.Audit Trails & Eval Gates
Every agent action is logged: input, reasoning chain, tools called, validation results, confidence score, routing decision, and outcome. Trails are exportable for compliance audits. No code change ships without passing the evaluation suite.
Get your agent architecture scoped
Walk away from the first call with a scoped plan, a timeline, and a cost estimate.
FAQs
What makes Agentic AI different from a chatbot?
Chat answers questions; agents complete tasks. They collect evidence, check rules, and execute with approvals and audit logs inside your app.Do we need perfect data to start?
No. We start from your process and KPI, layer in RAG over existing content, and add human-in-the-loop where accuracy matters.Which models and platforms do you support?
We're model-agnostic and work across AWS Bedrock, OpenAI, Azure, and Gemini, choosing the best tool for each job and keeping swap-ability.How fast can we launch?
Most teams ship a production agent in 4 weeks through the AI Feature Sprint. One deployed agent tied to your KPIs, with governance and cost controls included.How do you keep our systems secure?
Least-privilege access, encryption, audit logs, and strict model/data-usage controls. Your data is never used to train third-party models without consent.What's your agent framework?
HyperCore, built from scratch. No LangChain, no LangGraph. Direct control over model orchestration, token budgets, and the deterministic validation layer. Every agent we ship runs on it.
Contact us and get your project moving
Describe your needs to us and we'll work together to craft the perfect software solution. Tell us your timeframes, your targets or KPIs, and any critical challenges or difficulties. You're at the right place our team is eager to study and prioritize next steps together with you.Let's talk about your project