How we work
The process, in full.
The deeper detail behind an engagement—why the spend adds up, the path every project follows, and what the work costs—for when you want to see exactly how we operate before a call.
The real cost
You’re already spending thousands on AI.
Most of it isn’t changing how the work gets done.
Between subscriptions, seats, and stalled experiments, the spend adds up long before anything runs reliably. The question isn’t whether to invest in AI—it’s whether that spend is buying a workflow your business can actually run.
in AI subscriptions and seats
Tools bought for one use case, half-adopted, and quietly renewing across the team every month.
spent re-doing AI's work
Output that is 80% there still gets checked, corrected, and reformatted by hand before anyone can use it.
that never reached the team
A promising experiment in one person's chat window that never became how the work actually runs.
The problem
AI experiments are easy.
Changing how the work gets done is harder.
Most teams already have access to AI. What they do not have is a shared, dependable way to use it inside the work that drives the business. Prompts stay in private chats. Information is scattered. Follow-up depends on memory. Repetitive work continues by hand. The owner remains the connector between every person and system. The result is more software—but not a better business.
Follow-up depends on memory
Leads and requests arrive, but the next action depends on someone noticing, remembering, or manually checking the correct system.
Information is scattered
Employees search inboxes, documents, spreadsheets, and old messages for the context they need.
Repetitive work consumes the team
The same information is copied, rewritten, checked, and transferred between tools every day.
Everything still routes through the owner
Questions, approvals, exceptions, and handoffs keep returning to one person before work can move forward.
The opportunity is not AI everywhere. It is a better workflow, supported by AI where it earns a place.
What to expect
Find the friction. Fix the workflow. Make it stick.
Every engagement follows the same clear path—from a first conversation to a working system your team owns. You always know the cost, the timeline, and who is doing the work before anything is built.
- 01
Consultation
We identify where work is breaking down, what is realistic to solve, and the impact fixing it would have on the business.
- 02
Strategy & assessment
A research phase: the exact solution and its phases, the specific tools and APIs required, their real monthly or usage cost to you, and precisely how long it takes to build, implement, or train your team.
- 03
Roadmap & pricing
A detailed plan for every phase and training with the total cost laid out—so you can decide whether Givans Global builds it or your team handles implementation.
- 04
Build or hand-off
The workflow is implemented and launched, or handed off to your team with everything they need to run it.
- 05
Optimize & expand
We keep refining what is live and, when you are ready, automate the next part of the business.
The workflow
A useful AI workflow is controlled, visible, and easy to hand off.
A request enters. The right context is gathered. The next action is prepared. A person reviews anything important. The result is completed, recorded, and improved through real use.
Tap a step to inspect the workflow
A person reviews anything important before it goes out or gets committed.
Ways to work together
Start with the smallest engagement that creates clarity.
AI & Workflow Opportunity Assessment
$999 fixed fee
One workflow, personalized report, and findings review.
Workflow Implementation Sprint
Scoped project
One priority workflow redesigned, built, tested, documented, and launched.
AI Operations Partner
From $2,000 /month
Two working sessions each month, shared backlog, team enablement, tool evaluation, and continued workflow improvement.
Tools & Technologies