We scope each use case with a fixed price after the first call. You get a scoped plan within 48 hours, so you can start small, prove the number, and expand with control.

AI Automations for enterprises and secured environments

97% of executives say AI will transform their company.

Q: How fast can we reach production?

Typical first use cases reach production in 3–6 weeks. Our fastest secured deployment was 3 weeks from kickoff to production inside a closed defense network at DRS RADA.

Q: Which AI vendor do you use?

We are provider-agnostic. We can build with Azure OpenAI, AWS Bedrock, Google, or self-hosted open source models such as vLLM, Llama, and Mistral, then swap models as policy, cost, or performance changes.

Q: Can we start when data is scattered?

Yes. We start where knowledge already lives: SharePoint, file shares, CRM, ERP, ticketing systems, policies, contracts, reports, and email archives. Data readiness grows per use case.

Q: Who approves what AI does?

Humans stay on decisions that matter. We define approval points, escalation rules, permissions, and audit trails before production.

Q: How is this different from advisory work?

Our deliverable is a running, measured system. The same team maps the use case, builds it inside your environment, measures the delta, and reworks it if the numbers don't move.

Globalbit helps finance, healthcare, defense, and enterprise teams deploy AI agents inside secured environments, turning complex workflows into faster decisions, fewer bottlenecks, and measurable operational impact in weeks.

Map Your First Use Case

AI already runs in regulated production

Today, our AI systems run in Healthcare, Defense, Retail and Legaltech environments with secured deployment models and measured operational benchmarks.

[ WHAT WE BUILD ]

Four ways to put AI to work

Built for enterprises and secured environments, deployed in weeks inside your stack.

[ 01 ]

Secured Enterprise Chats

Private assistants grounded in your knowledge bases, policies, reports, contracts, and file shares, giving teams up to 10x faster access to enterprise knowledge.

[ 02 ]

AI Automations

Document, workflow, and back-office processes run end to end, with humans on decisions that matter and up to 80% fewer manual workflow steps.

[ 03 ]

Autonomous Agents

Autonomous agents that plan and act across CRM, ERP, email, ticketing, and internal tools, reducing repetitive knowledge work by 30–60%.

[ 04 ]

AI Coding Agents

Coding agents inside your secured network, delivering 3–5x developer productivity while your codebase never leaves your perimeter.

An agent for every team

Start with one high-impact use case, prove ROI, then scale team by team.

[ 01 ]

Enterprise Knowledge

Answers from internal docs, SharePoint, file shares, policies, contracts, and reports.

[ 02 ]

Customer Support

Resolves routine inquiries, drafts responses, escalates complex cases, and keeps records current.

[ 03 ]

Sales Intelligence

Researches accounts, prepares briefings, and summarizes CRM activity.

[ 04 ]

Legal & Compliance

Reviews contracts, policies, and regulations, then flags gaps and risks.

[ 05 ]

HR & Employee Service

Handles onboarding, benefits, payroll questions, procedures, and policies.

[ 06 ]

Finance & Procurement

Processes invoices, POs, supplier contracts, budgets, and cost anomalies.

[ 07 ]

IT Helpdesk

Resolves technical issues, opens and routes tickets, and escalates when required.

[ 08 ]

Project Management

Reads Jira, Azure DevOps, and Teams, summarizes status, and detects blockers.

[ THE EXECUTION GAP ]

What it takes to reach production

97% of executives expect AI to transform the company. Only 9% have a use case in production, because production means secure integration, measured workflow change, and accountable delivery.

[ 01 ]

Production needs engineering

AI must work inside ERP, CRM, SharePoint, Jira, permissions, audit logs, and exception paths. Globalbit diagnoses the workflow, connects the systems, and ships the production layer.

[ 02 ]

Security decides the architecture

The CISO veto is legitimate. AI must come to the data, run inside your environment, and pass security review before business value can scale.

[ 03 ]

Workflows create value

Licenses alone leave the process intact. We redesign the workflow, build the automation, and drive adoption with the teams who use it every day.

[ 04 ]

ROI needs a baseline

Day one starts with the number: cycle time, error rate, handoffs, cost, or backlog. The board sees the before, the after, and the delta.

[ WHERE WE DEPLOY ]

Your stack. Your cloud. Your rules.

Wherever your data has to stay, that's where we run.

Air-gapped networks

AI agents, knowledge hubs, and automations deployed with zero external routes, local controls, and audit-ready operation.

Private & hybrid clouds

Deploy on your approved cloud architecture, connect to enterprise systems, and keep data residency policies intact.

On-prem & classified

Run inside on-prem, classified, and controlled environments with your identity, permissions, logging, and approval flows.

Provider-agnostic

Build on Azure OpenAI, AWS Bedrock, Google, or self-hosted open source models such as vLLM, Llama, and Mistral.

[ HOW IT WORKS ]

From workshop to measured production

[ 01 ]

Map the use case

In days, we run a workshop with the people who do the work, map the workflow, and baseline time, cost, errors, and volume. No number, no project.

[ 02 ]

Build inside your environment

We build inside your environment, connected to your systems, permissions, data sources, and approval paths, with a 2–6 week delivery window.

[ 03 ]

Prove the delta

We run the AI workflow in parallel, measure the delta against baseline, and deliver a board-readable before-and-after report. If the numbers don't move, we rework it.

[ 04 ]

Scale team by team

Once the first use case proves value, we scale to the next teams and train your people to own the system.

Map the first workflow worth automating

One call. A scoped plan within 48 hours.

Map Your First Use Case

[ WHY GLOBALBIT ]

Why Globalbit

[ 01 ]

We build what we propose

The same team maps, builds, measures, and stays until the number moves.

[ 02 ]

16 years in regulated industries

We have delivered national-scale systems for finance, defense-tech, healthcare, and government, with compliance, data residency, and auditability designed in from day one.

[ 03 ]

Built into your stack

We are provider-agnostic, connect to your systems, and everything we ship belongs to you.

[ 04 ]

AI pioneers

An AI-first company. We try everything in-house first — 70% of our internal processes, from sales to development to production, are AI-automated.

[ FAQ ]

Frequently Asked Questions

Does our data ever leave the network?

We deploy inside your approved environment: air-gapped, on-prem, classified, private cloud, or hybrid cloud. Your data, prompts, logs, embeddings, and codebase stay under your controls.

How fast can we reach production?

What does it cost?

Which AI vendor do you use?

Can we start when data is scattered?

Who approves what AI does?

How is this different from advisory work?

[ RELATED SERVICES ]

You might also need

AI-Accelerated SDLC

AI readiness assessment, tool selection, and developer upskilling.

Learn more →

GenAI & ML Development

Custom AI solutions — LLMs, computer vision, NLP, and predictive models.

Learn more →

Revenue Engine

Website, CRM, and AI-powered sales pipeline — built as one system.

Learn more →

[ FROM THE BLOG ]

97% of executives say AI will transform their company.

AI already runs in regulated production

Four ways to put AI to work

Secured Enterprise Chats

AI Automations

Autonomous Agents

AI Coding Agents

An agent for every team

Enterprise Knowledge

Customer Support

Sales Intelligence

Legal & Compliance

HR & Employee Service

Finance & Procurement

IT Helpdesk

Project Management

What it takes to reach production

Production needs engineering

Security decides the architecture

Workflows create value

ROI needs a baseline

Your stack. Your cloud. Your rules.

Air-gapped networks

Private & hybrid clouds

On-prem & classified

Provider-agnostic

From workshop to measured production

Map the use case

Build inside your environment

Prove the delta

Scale team by team

Map the first workflow worth automating

Why Globalbit

We build what we propose

16 years in regulated industries

Built into your stack

AI pioneers

Frequently Asked Questions

Does our data ever leave the network?

How fast can we reach production?

What does it cost?

Which AI vendor do you use?

Can we start when data is scattered?

Who approves what AI does?

How is this different from advisory work?

You might also need

AI-Accelerated SDLC

GenAI & ML Development

Revenue Engine

Recommended Reading

Generative AI Enterprise ROI

Agentic AI in Practice

How Globalbit Uses Agentic AI

Tell us what you’re building.We’ll come back with a plan and a timeline.

Tell us what you’re building.
We’ll come back with a plan and a timeline.