Semantic Kernel, LangGraph & Deterministic .NET 10 Tool-Calling
Passive chatbots answer questions; autonomous AI agents execute end-to-end business workflows. Led by Principal Architect Zeeshan Dad Khan, we engineer secure, tool-calling single and multi-agent systems using Microsoft Semantic Kernel, LangGraph, AutoGen, and ASP.NET Core 10—complete with RBAC sandboxing, RAG verification, and Human-in-the-Loop approval gates.
Action-Oriented Agent Engineering
We engineer digital workers that don't just summarize documents—they securely authenticate, invoke enterprise APIs, validate business rules, and complete multi-step operational tasks.
Not every process should be handed to an autonomous agent. We map your operational bottlenecks, score candidate workflows by error tolerance, API maturity, and labor-hour savings, and deliver a phased agent rollout blueprint with clear unit-cost ceilings.
Measurable Business Impact: Targets the top 20% of enterprise workflows that generate 80% of immediate automation ROI.
We architect both focused single-purpose agents and collaborative supervisor/worker topologies using Microsoft Semantic Kernel, AutoGen, LangGraph, and CrewAI—selecting the simplest architecture that guarantees deterministic state transitions.
Measurable Business Impact: Eliminates multi-agent chatter loops while scaling seamlessly across complex cross-departmental tasks.
Give your agents safe hands to act. We build strongly typed C# function-calling plugins and Model Context Protocol (MCP) servers that connect your agents to ASP.NET Core 10 microservices, SQL Server, PostgreSQL, Salesforce, SAP, and webhook pipelines.
Measurable Business Impact: 100% schema-validated API execution with zero malformed payloads or broken downstream integrations.
We deploy domain-specialized digital workers: Compliance & Audit Officers that verify regulatory filings, FinTech Underwriting Agents that score loan dossiers, Sales/CRM Qualification Agents, HR Onboarding Coordinators, and Supply Chain Orchestrators.
Measurable Business Impact: Reduces manual dossier review and back-office processing times from days to under 90 seconds.
Every autonomous action is grounded in verifiable citations via hybrid vector/keyword RAG and self-reflection critic passes. When confidence falls below threshold or financial thresholds are exceeded, execution pauses for 1-click Human-in-the-Loop (HITL) approval.
Measurable Business Impact: Near-zero unverified actions in production with complete executive confidence and audit trails.
Defend against indirect prompt injection and privilege escalation. Each agent operates inside a least-privilege sandbox with scoped JWT/Entra ID claims, parameterized C# command handlers, immutable audit logs, and automatic token-spend circuit breakers.
Measurable Business Impact: Prevents unauthorized database mutations and satisfies strict SOC 2, HIPAA, and ISO 27001 security controls.
Production Agentic Engineering
Why our production agentic systems succeed where fragile prompt chains fail: real architectural proof from our shipped platforms.
Long-running agents that append every intermediate tool call and observation into a growing chat history suffer from severe context pollution—forgetting original constraints by step 5.
Born in our flagship VisionFlow AI platform (serving 10,000+ users on .NET MAUI 10 & ASP.NET Core 10), our Anchor & Delta Context Engine separates the immutable Mission Anchor from the live JSON State Delta, secured via zero-key Google Cloud Application Default Credentials (ADC).
Zero goal drift across 20+ step autonomous workflows and up to 60% lower token consumption per task.
Autonomous agents often execute tasks that take 15 to 120 seconds (querying multiple APIs, running PyTorch inference, generating reports), causing HTTP request timeouts and opaque UX.
Using the exact pattern proven in LuminaEdit, we dispatch long-running agent missions to durable background channels and PyTorch MPS/CUDA workers while streaming live step-by-step tool execution events and HITL approval cards to the client via ASP.NET Core 10 SignalR.
Instant non-blocking API responses with full glass-box visibility into every tool call the agent performs.
Invoking frontier cloud models for trivial intent routing, PII scrubbing, or voice command transcription wastes thousands of dollars and adds unnecessary latency.
We combine local ONNX Runtime, Apple CoreML, Whisper Tiny, and quantized Phi-4 / Qwen edge agents (alongside zero-upload browser/mobile pre-validation proven on visionflowai.app/tools) with cloud supervisor agents.
Sub-20ms local intent triage and PII redaction before a single token is ever billed by cloud LLM providers.
Teams prototyping agents in loosely typed scripts frequently mix prompt templates, database writes, and third-party API keys in a single unmaintainable file.
With our 2-Week Onion Architecture refactoring sprint, we extract deterministic C# Domain Commands, wrap tools in strongly typed Semantic Kernel / MCP interfaces, and enforce automated xUnit regression tests for every agent skill.
Converts unpredictable prototype agents into auditable, enterprise-ready .NET 10 systems in 2 weeks.
Automation Paradigm Matrix & Delivery Blueprint
Why modern enterprises are replacing brittle screen-scraping RPA and unguarded prompt scripts with our deterministic tool-calling agents.
| Capability Dimension | Legacy Rule-Based RPA | Naive Prompt-Chain Agent | KCC Deterministic Tool-Calling Agent (.NET 10) |
|---|---|---|---|
| 1. Unstructured Data Handling | Breaks immediately when invoice layouts, emails, or UI selectors change. | Parses unstructured text well, but produces inconsistent JSON schemas. | Multimodal + Strict Schema — Handles messy inputs with 100% typed C# output contracts. |
| 2. Database & ERP Mutation Safety | Executes blind UI clicks/macros without semantic awareness. | High risk of hallucinated parameters or prompt-injected mutations. | RBAC Sandboxed Plugins — Parameterized C# handlers + mandatory HITL approval gates. |
| 3. Multi-Step Context Stability | Stateless macro execution; cannot reason across exceptions. | Degrades after 4–5 steps due to conversational context bloat. | Anchor & Delta Context Engine — Zero goal drift across complex multi-step workflows. |
| 4. Loop & Cost Protection | Fixed license cost; high ongoing maintenance engineering overhead. | Prone to runaway retry loops that burn thousands in API tokens. | Hard Circuit Breakers — Step limits, semantic caching & tiered Flash/Pro routing. |
| 5. Auditability & Compliance | Basic execution logs; no explanation of decision rationale. | Opaque black-box text generation with no citation verification. | OpenTelemetry Tracing — Every reasoning step, RAG source, and tool call is logged. |
We break your target business process into atomic steps, separating deterministic C# business rules from probabilistic LLM reasoning and defining exactly which actions require Human-in-the-Loop sign-off.
We build Semantic Kernel and Model Context Protocol (MCP) plugins in ASP.NET Core 10, connecting your SQL Server/PostgreSQL databases and ERP/CRM APIs behind OAuth 2.0/RBAC security gates.
We wire up the agent planner, Anchor & Delta state persistence, RAG fact-verification critics, and real-time SignalR status streaming to your .NET Blazor or .NET MAUI operator console.
We subject the agent to adversarial indirect prompt-injection tests, verify OpenTelemetry token/latency circuit breakers, and launch in shadow/co-pilot mode before enabling full autonomy.
Agentic Engineering Stack
Built on compiled .NET 10 reliability and industry-standard agentic protocols for zero vendor lock-in.
Production orchestration using Microsoft Semantic Kernel Process Framework, Microsoft.Extensions.AI, LangGraph state machines, AutoGen multi-agent conversations, and our Anchor & Delta Context Engine.
Strongly typed C# tool-calling interfaces, MCP server/client implementations, OpenAPI function binding, SignalR real-time HITL notifications, and transactional SQL Server / PostgreSQL adapters.
High-precision function calling via Gemini 3.1 Pro/Flash, GPT-4o / o3-mini, Anthropic Claude Sonnet, and local Qwen/Phi-4 models.
Long-term episodic memory, hybrid RAG verification stores, and low-latency Redis state delta checkpoints.
Least-privilege OAuth 2.0/Entra ID agent tokens, Google Cloud ADC, prompt-injection filters, and HITL escalation queues.
Distributed tracing of every agent thought, tool invocation, latency spike, and per-tenant token budget enforcement.
Frequently Asked Questions
How we ensure deterministic execution, database safety, and predictable token economics in enterprise agent deployments.
A conversational chatbot passively answers user prompts using retrieved text. An autonomous AI agent is a goal-driven digital worker capable of multi-step planning, invoking strongly typed C# tools, querying SQL Server or PostgreSQL databases, mutating ERP/CRM records via REST/gRPC APIs, verifying its own output against business rules, and escalating edge cases to human supervisors.
We never give an LLM raw SQL write access or unrestricted API credentials. All agent actions are mediated through deterministic ASP.NET Core 10 tool-calling plugins governed by RBAC/OAuth 2.0 scopes, JSON Schema validation, parameterized queries, and mandatory Human-in-the-Loop (HITL) approval gates for high-impact financial or compliance actions.
For enterprise .NET ecosystems, Microsoft Semantic Kernel paired with Microsoft.Extensions.AI and our Anchor & Delta Context Engine provides unmatched type safety, native Dependency Injection, and OpenTelemetry observability. When Python-centric research graphs or rapid role-based swarms are required, we integrate LangGraph, AutoGen, or CrewAI behind secure ASP.NET Core 10 BFF gateways.
We enforce strict step-count circuit breakers, per-execution token budget ceilings, deterministic state machines, and our Anchor & Delta Context Engine—which prevents context bloat and reasoning drift by referencing an immutable goal Anchor alongside a compact JSON State Delta at every turn.
Yes. Led by Principal Architect Zeeshan Dad Khan (20+ years of C# and .NET systems architecture), we wrap your existing ASP.NET Core microservices, SQL Server/PostgreSQL databases, Salesforce/HubSpot CRMs, and webhook pipelines as strongly typed Model Context Protocol (MCP) and Semantic Kernel plugins.
Direct Principal Consultation
Share the operational workflows you want to automate and the enterprise systems your agents need to orchestrate. Principal Architect Zeeshan Dad Khan responds directly within 24 hours on business days.
Zeeshan Dad Khan
