Enterprise AI Solutions

Enterprise AI Solutions. Not Just Pilots.

88% of AI pilots never reach production. The ones that do share three things: clean data pipelines, guardrails by design, and an MLOps team that owns the model after launch. We provide all three.

4 wks

Readiness Sprint

12+

Agents in Production

Certified

SOC 1/2 Type II · ISO 27001

Clutch Global Top 100 Clutch Top B2B Company
The Production Gap

Why Most AI Initiatives Don't Reach Production

The hard part of enterprise AI isn't the model — it's the data, the guardrails, and the production discipline around it. We engineer for all three.

Stuck in Pilot

Demos that never make it past a sandbox because no one owns hardening, evaluation, or rollback.

Data Not Ready

Models trained on dirty pipelines fail silently in prod. We treat data quality as a first-class deliverable.

No Guardrails

Hallucinations, prompt injection, and PII leakage need defences — not after launch, but by design.

ROI Stays Theoretical

Without baselines, eval harnesses, and KPIs wired in, you can't prove value or course-correct.

Start with a Free AI Strategy Call

Find Out Which AI Use Case Goes Live First

A 30-minute call with our AI experts. We'll assess your data readiness, score your top use cases, and tell you honestly what's production-ready in 4 weeks.

Book a Call
Five Practices

AI Solutions Suite for Enterprise

Engage with one AI solutions practice or combine them for full-coverage enterprise AI implementation — strategy, agents, data, governance, and MLOps, delivered by one team.

How We Work

From Workshop to Production in 90 Days

Every Kansoft AI engagement starts with a fixed-scope readiness sprint. By week four you have a prioritised roadmap, a reference architecture, and a decision on what goes live first. By week twelve, that first use case is in production.

Vendor-neutral Fixed-scope sprints Governance by design Eval harness included Production-grade from day one
01

Readiness & Discovery

Data audit, use-case scoring, governance gap analysis, and architecture blueprint — all inside a 4-week fixed sprint.

02

Pilot Build

Deliver one prioritised use case from scoping to production — with eval harness, observability, and human-in-the-loop wired in from day one.

03

Hardening & Launch

Red-team the pipeline, plug guardrails, define rollback, and release behind feature flags with measurable KPIs.

04

Scale & Operate

MLOps automation, monitoring, drift detection, and a roadmap for the next two to three use cases.

Technology Coverage

Platforms & Frameworks We Engineer With

Vendor-neutral by design — we pick the right stack for your data, latency, cost, and compliance constraints.

OpenAI
Anthropic Claude
Azure OpenAI
Google Vertex AI
AWS Bedrock
Hugging Face
LangChain
LlamaIndex
Pinecone
Weaviate
pgvector
Qdrant
Databricks
Snowflake Cortex
MLflow
Kubeflow
Weights & Biases
Ray
Industries

Where We've Deployed AI

Financial Services

Credit risk scoring, fraud detection, document intelligence, and regulatory reporting agents — AI solutions for finance built with full explainability and audit trails.

Healthcare & Life Sciences

Clinical decision support, imaging triage, and HIPAA-compliant patient-facing assistants — AI solutions for healthcare designed for compliance from day one.

Retail & E-Commerce

Personalisation, demand forecasting, conversational commerce, and dynamic pricing — AI solutions for retail that measure ROI from week one.

Manufacturing

Predictive maintenance, quality vision, and supply-chain optimisation.

Professional Services

Contract analysis, knowledge agents, billing automation, and proposal generation.

Energy & Utilities

Grid optimisation, consumption forecasting, and ESG reporting copilots.

Why Kansoft

Why Choose Kansoft as Your AI Solution Provider

We're not an AI lab. We're a software engineering firm that builds AI products the way we build the rest of your systems — observable, testable, and accountable.

Vendor-Neutral

We don't resell platforms. Recommendations follow your data, latency, and cost — not partner margins.

Governance by Default

EU AI Act, GDPR, HIPAA, SOC 2, and UAE data residency baked into the architecture from day one.

Eval Harness Included

Every pilot includes a regression suite, golden datasets, and KPIs — not just a demo.

Production-Grade MLOps

CI/CD for models, drift detection, canary rollouts, and rollback — the same rigour as your application stack.

Knowledge Transfer

Your team owns the runbooks, the prompts, and the pipeline. We build capability, not dependency.

Global Delivery

Teams globally — same-day responses regardless of timezone.

Case Studies

AI Solutions in Production

AI & SaaS Platforms

Datareel

Delivered the cloud foundation and MLOps infrastructure for an AI video SaaS platform serving regulated industries — healthcare, banking, and insurance.

80%

Faster provisioning

85%

Infrastructure automation

60%

Fewer incidents

View Case Study
Healthcare AI

Indira IVF

Built AI-assisted EMR and unified reporting for India's largest IVF clinic network — replacing manual workflows with real-time analytics across 150+ locations.

85%

Faster reporting

90%

Fewer scheduling errors

150+

Locations live

View Case Study
FAQ

Questions About Our AI Solutions

What types of enterprise AI solutions does Kansoft build?
Our enterprise AI solutions span five practice areas: AI strategy and readiness assessment, agentic workflow and autonomous agent development, generative AI and RAG application development, AI-assisted software delivery, and MLOps infrastructure. Engagements can be scoped to a single practice or structured as a full-coverage AI implementation programme.
How do you move an AI solution from pilot to production?
We use a four-stage model: a 4-week readiness sprint to assess data maturity and define architecture; a pilot build with an evaluation harness wired in from day one; a hardening phase covering guardrails, red-teaming, and rollback; and a scale-and-operate phase with MLOps automation. Most first use cases are in production within 90 days of kickoff.
Are your AI-powered solutions built for regulated industries?
Yes. All AI-powered solutions we build are designed for regulated environments by default. For healthcare, we apply HIPAA-compliant data handling and access controls. For financial services, we build explainability and audit trails into every model. Governance — EU AI Act, SOC 2, ISO 27001, GDPR — is an architecture requirement, not a post-delivery addition.
How long does an enterprise AI implementation take?
A focused single-use-case enterprise AI implementation — from readiness sprint through production launch — typically takes 10–14 weeks. Larger programmes covering multiple use cases or full MLOps platform buildouts run 6–12 months. We scope conservatively and deliver incrementally so you see working software at every stage.
How do I evaluate AI solution providers for an enterprise project?
Evaluate AI solution providers on three factors: production track record (have they deployed AI in regulated industries, or just demos?); governance posture (is compliance built into the architecture or bolted on?); and engineering depth (do they own MLOps, or hand off after the model?). Kansoft covers all three — ask us for case studies in your vertical.

Ready to Move From Pilot to Production?

Book a free 30-minute AI call. We'll review your current state, surface the highest-value use cases, and outline a 90-day path to production.

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