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🏆 Custom AI Agent Development  ·  Multi-Agent Systems  ·  Enterprise Automation info@konstructin.com
AI Agent Development

Custom AI agents for every corner of your operations

We don't build demos. We build production AI agents โ€” scoped to a specific workflow, integrated into your real systems, and delivering measurable results from go-live day one.

Our Agent Architecture

What makes a KonstructIN agent different from a chatbot

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Scoped to one outcome

Every agent is defined by a specific input, a specific output, and a specific system integration โ€” not a general-purpose assistant that does everything poorly.

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Integrated, not isolated

Agents read from and write to your actual systems via API. They don't create new silos โ€” they eliminate the manual work between existing ones.

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Designed for uncertainty

Every agent has a confidence threshold. Below it, the agent escalates to a human โ€” with full context attached. Autonomous where safe, supervised where necessary.

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Private deployment option

Deploy on your own Azure, AWS or GCP infrastructure. Your data never leaves your environment. Full audit logs, RBAC, and compliance controls built in.

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Observable and auditable

Every agent action is logged โ€” what it processed, what it decided, why it escalated. Full observability from day one, not bolted on after production issues.

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Production in 3โ€“6 weeks

Not a 6-month project. A well-scoped single-workflow agent is in production within 3โ€“6 weeks. Multi-agent systems within 8โ€“14 weeks.

Agent Types We Build

Six categories of agents โ€” all in production at client sites

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Operations Agents

Automate the operational backbone of your business โ€” document processing, approval routing, data entry, reconciliation, and reporting.

  • Invoice and purchase order processing
  • Contract extraction and filing
  • Approval routing and escalation
  • Daily ops reporting and anomaly alerts
  • Inventory and supply chain updates
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Customer Support Agents

Handle tier-1 customer enquiries, resolve issues using live system data, and escalate complex cases to humans with full context.

  • Order status and tracking queries
  • Account and billing enquiries
  • Product and policy FAQ resolution
  • Return and refund initiation
  • Complaint triage and routing
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Data & Analytics Agents

Aggregate data from multiple systems, generate reports, surface insights, and deliver them to the right people automatically.

  • Cross-system performance dashboards
  • Automated weekly/monthly reports
  • Anomaly detection and alerts
  • Competitor and market monitoring
  • KPI tracking and variance analysis
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CRM & Sales Agents

Keep your CRM accurate, qualify leads automatically, and give your sales team a data advantage without adding admin work.

  • Lead qualification and ICP scoring
  • CRM enrichment from public and internal data
  • Follow-up sequence triggering
  • Meeting booking and calendar management
  • Deal stage automation and reminders
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Knowledge & Research Agents

Search, retrieve, and synthesise information from your internal documents and databases โ€” giving your team instant, cited answers.

  • Internal policy and procedure Q&A
  • Contract and legal document search
  • Product knowledge base assistant
  • Due diligence research automation
  • Competitive intelligence gathering
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Orchestration Systems

Multi-agent systems where a coordinator agent manages specialised sub-agents โ€” enabling complex, multi-step workflows to run end-to-end automatically.

  • End-to-end sales pipelines
  • Onboarding and offboarding orchestration
  • Invoice-to-payment multi-agent flow
  • Content creation and approval systems
  • Cross-department data reconciliation
Our Build Process

How we scope, build and ship production AI agents

01

Discovery & Scoping

We map the workflow, define input/output, identify system integrations, and write the success criteria before any code is written.

02

Architecture Design

LLM selection, prompt strategy, tool integration design, confidence threshold rules, escalation paths, and infrastructure planning.

03

Build & Test

Iterative build with weekly demos. Labelled test dataset evaluation, shadow-mode parallel testing, and edge-case resolution before go-live.

04

Deploy & Optimise

Production deployment on your infrastructure. Monitoring, logging, and ongoing optimisation based on real usage data.

Agent Technology Stack

Enterprise-grade AI infrastructure, rigorously tested

LLMs & Reasoning

AIOpenAI GPT-4o
ANAnthropic Claude
GMGoogle Gemini
AZAzure OpenAI
AWAWS Bedrock
LLLlama 3 (private)

Orchestration Frameworks

LCLangChain
LGLangGraph
CRCrewAI
PYAutoGen
PFPython / FastAPI

Vector & Memory

PCPinecone
PGpgvector (PostgreSQL)
CHChromaDB
WVWeaviate

Cloud & Infrastructure

AZMicrosoft Azure
AWAmazon AWS
GCGoogle Cloud
K8Kubernetes
DCDocker
View full technology stack โ†’
Get started

Tell us the workflow you want to automate.
We'll show you exactly how.

Book a free 30-minute strategy call. We'll scope the agent, estimate the timeline, and give you a fixed-cost proposal โ€” no obligation.

Book a Strategy Call