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MAK IT Solutions

Service

AI Solutions

Production AI for real workflows — assistants, knowledge systems, agents, and automation your teams can trust.

What this means in plain terms

Mak IT Solutions designs and delivers AI that creates operational leverage — not demos that stall after a pilot.

We work with product and operations leaders to define a clear use case, success metrics, and guardrails for cost, privacy, and reliability. From there our team builds copilots, retrieval systems, agents, document AI, or automation — integrated into the tools your people already use.

Engagements are milestone-based: discovery, controlled prototype, production hardening, then handover with monitoring and evaluation in place. We remain model- and cloud-flexible. OpenAI, Azure OpenAI, Anthropic, Google, open-source models, and major cloud platforms are all in scope — we recommend what fits your data, compliance, and budget.

Who this is for

If any of these sound like your organization, this engagement is a fit.

  • Product teams adding AI into an existing application
  • Operations leaders drowning in repetitive knowledge work
  • Support and sales orgs that need reliable assistants with human handoff
  • Companies that tried a pilot and now need production discipline

Problems we solve

Common blockers we address up front in structured delivery.

What should we automate first?

We prioritize one workflow with clear value — not a vague “add AI” mandate.

Will answers stay accurate?

Grounding, evaluation, and escalation paths keep outputs attributable and within policy.

How do we control cost?

Usage instrumentation, caching where safe, and model choice by task keep spend predictable.

Who owns it after launch?

Runbooks, monitoring, and training so your team can operate without depending on a single person.

What you get

Concrete delivery areas typically included when organizations engage Mak IT Solutions for AI Solutions.

  • Use-case discovery and outcome framing
  • Working prototype or MVP on a defined timeline
  • Production assistants, RAG, agents, or automation
  • Evaluation, monitoring, and cost controls
  • Security- and privacy-aware design
  • Team training and operating handover

How we work

  1. 1

    Frame the business problem, data access, and success metrics with stakeholders

  2. 2

    Prototype with safety, cost, and quality guardrails before wide rollout

  3. 3

    Build the production path: integrations, evals, monitoring, and escalation

  4. 4

    Launch, measure outcomes, and iterate with your internal owners

Related work

AI agents across industries

Selected AI and agent automation engagements — knowledge assistants, document AI, and workflow agents in production.

All work →

Samples

How engagements usually look

Three common engagement patterns — from knowledge assistants to document AI. Exact scope depends on your data and risk profile.

Internal knowledge assistant

A grounded assistant over policies and product docs — with citations and a clear path to human support.

Workflow agent for ops

An agent that researches, updates systems, and escalates exceptions — audited and permission-aware.

Document intake at scale

Extraction from invoices, forms, or KYC packs with human review where accuracy matters most.

FAQ

Questions about AI Solutions

Clear answers before you kick off.

No. Our engagements are model-flexible across major providers and open-source options. We recommend based on quality, cost, latency, and your compliance needs.

Ready to discuss AI Solutions?

Share your goals and timeline — our team will propose a clear delivery path with milestones.

Book a discovery call