Safe AI Deployment

Deploy AI safely into real operations.

Most AI pilots stall before they reach production. We help companies move AI from proof of concept into day-to-day operations — with the controls, oversight, and integrations real businesses require.

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50+

Engagements delivered

15+

Engineers & specialists

6–12 wks

To production pilots

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Capabilities

Six services.
One safe path to production.

Everything you need to deploy AI safely into operations — strategy, secure agents, governance, knowledge systems, integrations, and monitoring. One team, one set of controls, one accountable point of contact.

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/01

Decide and control before you scale

Strategy & Governance

Find the safest, highest-ROI AI use cases, then define what AI can see, decide, change, and escalate — with permissions, approvals, audit logs, and a clear operating model.

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/02

Agents and knowledge that operate safely

Build & Knowledge

AI agents that work inside real workflows with human oversight, and secure knowledge systems that answer from trusted sources with citations — without leaking sensitive data.

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/03

Connect, test, and keep AI reliable

Integrate & Operate

Connect AI to the CRMs, ERPs, and legacy tools your business runs on, then test for prompt injection and data leakage and monitor cost, quality, and failures after launch.

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/ Who We Are

Safe AI deployment.
Real operations.

PROSYS LTD helps companies deploy AI safely into real business operations — from pilots to production. We build secure agents, governed workflows, enterprise knowledge systems, integrations, and the controls that make AI dependable in day-to-day use.

Most AI initiatives stall after the demo. We focus on the operational layer — permissions, approvals, audit logs, integrations, testing, and monitoring — so AI moves past the proof of concept and keeps working once real users and real data depend on it.

Production, not demos

We focus on AI that reaches real operations — connected to workflows, integrated with systems, and measured after launch, not just impressive in a pilot.

Safe by design

Permissions, approvals, audit logs, and human oversight are designed in from the start, so AI stays controlled and auditable in day-to-day use.

End-to-end ownership

From readiness and strategy through build, governance, integration, security, and monitoring — one accountable team across the full AI lifecycle.

Our Story Work With Us

PRO

Sys

Agents

Governance

RAG

Security

Integration

Monitoring

Industries

Built for your sector.
Deployed with controls.

FinTech, HealthTech, SaaS, logistics, BPO, and professional services. The workflows, data sensitivity, and risk profile differ in each — so we deploy AI with the permissions, integrations, and oversight that fit how your operations actually run.

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Audit-ready

Permissions, logs & data boundaries

FinTech & Financial Services

AI for fraud and risk signals, document and KYC processing, and customer support — deployed with the permissions, audit logs, and data boundaries financial operations require.

Risk & fraudKYC docsSupportGovernance

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Access-controlled

Reviewed data handling & audit trails

HealthTech & Healthcare Operations

AI for patient operations, documentation, and back-office workflows — designed with access controls, audit trails, and a data handling review before any sensitive data is touched.

Patient opsDocumentationBack-officeSecure

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Production AI

Evaluated, guardrailed & monitored

SaaS & AI Product Companies

Production-grade AI features inside your product — agents, RAG, and automations with evaluation, guardrails, and monitoring so AI capabilities ship reliably and stay affordable.

AgentsRAGGuardrailsMonitoring

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Integrated

Connected to ERP & legacy systems

Logistics, Supply Chain & Manufacturing

AI for operations automation, document processing, and exception handling — integrated with the ERPs, databases, and legacy systems that run the supply chain.

AutomationDocsExceptionsIntegration

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Human-in-loop

Triage, drafting & escalation

BPO & Customer Operations

AI for ticket triage, response drafting, and quality monitoring — with human-in-the-loop approvals and escalation so customer operations move faster without losing control.

TriageDraftingQAEscalation

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Permission-aware

Cited, secure knowledge & review

Professional Services & Legal

Secure knowledge and document-review systems with permission-aware retrieval and citations — so teams find and use trusted information without exposing privileged data.

KnowledgeDoc reviewCitationsSecure

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Beyond the list

Sector not listed?

We deploy AI safely across operations beyond what is shown here. Share your workflow and the team will route the conversation to the right specialist.

InsurTechReal estateEdTechPublic sector

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/ The Process

How we deliver.

A six-step lifecycle for deploying AI safely — assess, build, govern, integrate, secure, and improve. Controls and oversight are designed in from the start, not bolted on after launch.

Engagement Profile

6–12

Weeks

Steps

HITL

Oversight

Phase · 01Step 1 of 6

Find the safest, highest-ROI use case

Assess

We identify high-value AI opportunities, map business workflows, review data readiness, estimate ROI, and define risk boundaries — producing a prioritized implementation roadmap.

Deliverables

Workflow & data readiness map
Use cases scored by value & risk
Prioritized implementation roadmap

1–3 weeks

Phase · 02Step 2 of 6

Build the agent, system, or automation

Build

We design and implement the AI workflow, agent, knowledge system, or automation needed to solve the defined problem — system prompts, tool logic, retrieval, and a working pilot or release.

Deliverables

System prompts & tool logic
Retrieval & workflow design
Working pilot or first release

4–10 weeks

Phase · 03Step 3 of 6

Add the control layer for safe operation

Govern

We add the control layer required for safe operation: role-based access, human approval gates, audit logs, escalation paths, risk scoring, and a kill switch or rollback process.

Deliverables

Role-based access & approval gates
Audit logs & risk scoring
Escalation paths & kill switch

1–2 weeks

Phase · 04Step 4 of 6

Connect AI to your existing systems

Integrate

We connect AI to the systems where work already happens — CRM, ERP, helpdesk, database, and document integrations, with authentication, permissions, and data flow documentation.

Deliverables

CRM, ERP & helpdesk integrations
Authentication & permissions
Documented data flows

2–6 weeks

Phase · 05Step 5 of 6

Test for risky behavior before launch

Secure

We test for risky behavior before users see the system: prompt injection testing, data leakage checks, agent action abuse testing, hallucination review, and guardrail implementation.

Deliverables

Prompt injection & leakage testing
Agent action abuse review
Guardrail implementation

1–2 weeks

Phase · 06Step 6 of 6

Monitor and improve after launch

Improve

We monitor real-world behavior and improve over time — quality dashboards, cost and latency monitoring, failure tracking, usage analytics, feedback loops, and a monthly improvement roadmap.

Deliverables

Quality, cost & latency monitoring
Failure tracking & feedback loops
Monthly improvement roadmap

Ongoing

Need a scoped plan for your engagement?

Complimentary 30-minute discovery call with a delivery lead.

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Field Notes

Insights from delivered engagements.

Safe AI deployment lessons, agent and governance patterns, and what works in production — written by the engineers actually doing the work.

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