Subheadline Turn goals into outcomes with AI agents that execute multi-step workflows, integrate with your systems, and adapt in real time. We combine enterprise engineering, agent orchestration, and secure deployment to deliver production-grade agentic applications.
Krify combines AI-driven tools with seasoned engineering to deliver investor-ready MVPs 4–6 weeks faster, at competitive rates, and built to scale.
Services (Agentic AI Services at Krify)
Agent Engineering, Orchestration & Ops — Our Services
Agent Strategy & Assessment
Maturity assessment, opportunity mapping, and ROI roadmap for agentic automation.
Agent Design & Prompt Engineering
Intent modeling, tool design, memory & state, safety constraints.
Quality & Reliability
Build agents that integrate with CRMs, ERPs, databases, and web APIs.
Multi-Agent Systems
Design agent teams that coordinate to solve complex tasks.
Agent Orchestration & Monitoring
Runtime orchestration, observability, logging, retry policies.
Governance, Safety & Compliance
Access controls, policy enforcement, audit trails, human-in-the-loop gates.
MLOps & Agent Lifecycle
Versioning, canary releases, rollback, continuous evaluation.
Why this matters
Enterprises need planning, integration, and governance — not just a model. Leading consultancies and platforms position agentic AI as an enterprise platform problem (not just model hosting).
Use Cases & Industries
Real-world use cases where agents drive impact
Customer Support Automation
autonomous ticket triage + resolution handoff.
Sales & Growth Automation
agentic prospect research, outreach sequencing, CRM updates.
Finance & Accounting
reconciliation, anomaly triage, report generation.
Supply Chain / Logistics
autonomous route re-planning, exception resolution.
DevOps & SRE
agentic incident detection, runbook automation, remediation suggestions.
R&D & Knowledge Work
literature synthesis, data extraction, experiment orchestration.
Short case blurb example: “A retail client reduced order-exception resolution time by 60% using an agent that pulls data from the OMS, queries inventory, and issues refunds with human approval on exceptions.”
Tools & Technology (what we build with)
Best-of-breed stacks for agentic AI
LangChain / Agent frameworks
orchestration, tool connectors, memory.
AutoGPT / Open frameworks
rapid prototyping of autonomous agents.
Cloud provider agent platforms
AWS agentic AI services, Microsoft Autogen / Copilot Studio for enterprise integration.
Vector stores & DBs (Pinecone, Milvus)
agent memory & context.
Observability stack
logging, audit trails, metrics, policy enforcement.
Why Krify
We pair cloud-native infra with production software engineering so agents are reliable, scalable and auditable.
Security, Governance & Responsible AI
Safe, auditable agent deployments
Access & least privilege
agents only get the minimal scopes required.
Human-in-the-loop gates
approve high-risk actions via dashboards or notifications.
Audit & observability
full trace of agent planning, tool calls, and outputs for compliance.
Adversarial testing & AI security
est for prompt injection, data exfiltration, and runaway behaviors.
Process (How we engage)
From pilot to production — a pragmatic 6-step approach
1. Discovery & Opportunity Mapping
identify 1–3 high-value automations.
2. Pilot Design & Safety Plan
define goals, KPIs, safety constraints.
4. Testing & Robustification
stress tests, adversarial prompts, fallback logic.
5. Pilot Run & Metrics
monitor performance, collect human feedback.
6. Scale & Ops
productionize successful agents, create runbooks & SLOs.
Case Studies & Proof
Proof we can deliver agentic solutions
Agentic Customer Service — 60% faster resolution for RetailX
Finance Reconciliation Agent — 80% automation for FinCo
Logistics Optimization Agent — 15% drop in route cost
Pricing & Engagement Models
Flexible pilots, fixed-scope builds, and managed ops
Discovery & Pilot (fixed fee)
4–8 weeks, defined KPI, governance plan.
Build & Integrate (T&M or fixed)
custom agent development + connectors.
Managed AgentOps (subscription)
monitoring, updates, model tuning, incident response.
Resources & Blog / Thought Leadership
Learn about agentic AI — guides, whitepapers & demos
