What Is AI Actually Worth in Your Specific Function?
"AI for business" is too broad to act on. AI for accounts payable, supply chain, or scheduling is a real, fundable project with a real number attached. In one 20-minute call, we’ll tell you what it’s worth in the function you’re asking about.
- You know AI could help your team, but not what it’s actually worth
- Generic "AI for business" content never speaks to your specific function
- You don’t want a platform pitch — you want to know if it pays off here
No sales pitch. No obligation. Just a straight answer.
Trusted by 300+ companies, including
Pick Your Function. See the Real Number.
Every function below is a money maker or a money eater depending on how much of it is still manual. Click through to see exactly what fixing it was worth for a business like yours.
Three Steps. One Call. A Function-Specific Answer.
20-minute call
We ask about the specific function you’re curious about — volume, current process, where the manual work is. No jargon, no platform pitch.
We match it to real data
We compare your situation to engagements Sphere has actually delivered in that function, not generic industry benchmarks.
You get the answer
A short written breakdown: what’s realistic for your function, an estimated dollar range, and whether it’s worth pursuing now. No obligation to work with us.
What AI Applied to One Function Actually Looks Like
Every one of these engagements targeted a single function — not "the business" broadly. That’s why the numbers below are specific, not aspirational.
$200M to $250M Revenue in 12 Months, Driven by Inventory Intelligence
The buying and accounts teams at a $200M B2B distribution company were taking 2-3 days to align on inventory selection and pricing — mostly on gut feeling, not data. Unifying CRM and market data cut that decision cycle to 4 hours, lifted gross margins 10% through better vendor negotiation, and drove an 18% year-over-year revenue increase — pushing the company from $200M to $250M in a single year.
Read the Inventory Optimization Case Study →800% ROI in year one
An order fulfillment company manually reviewed just 5% of carrier invoices. Automating 100% of invoice validation recovered $400K+ a year — a 10x jump from what manual review ever caught.
Read the case study →17% lower fuel costs
A logistics operator’s routes were planned manually once a day, with no adjustment for traffic or weather. Dynamic AI routing cut fuel costs 17% and achieved full ROI within 8 weeks.
Read the case study →$750K in annual savings
A medical device manufacturer’s 30-person order team processed POs by fax and email, with 24–48 hour weekend backlogs. Automated document parsing cut the team to 8 people and unlocked $750K a year.
Read the case study →The Reasons Business Owners Hesitate — Answered
“My function is too specialized for a generic AI solution.”
That’s exactly why this isn’t generic. The inventory optimization case study above was built around one distributor’s actual buying and pricing workflow — not a template. We start from your function’s real data and rules.
“We don’t have the technical team to run this.”
You don’t need one. Every engagement above was built and supported by Sphere, with a light handoff to the team that already runs the function day to day.
“I’ve seen ‘AI for supply chain’ pitches before — they’re all the same.”
Most are a platform looking for a use case. This is the opposite: we start with your specific volume and workflow, and only recommend AI where the math supports it — not because it’s the product we’re selling.
“This is probably a sales call in disguise.”
You get the written breakdown either way — what’s realistic for your function and an estimated dollar range — whether or not you ever hire us. No contract, no pressure.
21 Years of Delivery Before We Ever Said “AI”
Sphere has been building software, data, and engineering solutions since long before "AI" was a category — this isn’t a pivot.
Across logistics, distribution, manufacturing, retail, and financial services — we’ve built for nearly every operational function.
32 verified Clutch reviews. Clients consistently cite communication, delivery, and technical depth — not just AI hype.
Get a Real Number for Your Function, Not a Platform Pitch
20 minutes. No jargon. A straight answer for the function you actually asked about.
Get My Free Assessment →Quick Answers
Which business function gets the most value from AI first?
It’s whichever function is currently the most manual and highest-volume — not necessarily the most "strategic" one. Accounts payable, order processing, and logistics dispatch tend to show the fastest, largest returns because they involve repetitive, rule-based decisions at scale, which is exactly what AI is best at automating.
Is AI for supply chain and logistics different from AI for finance or HR?
The underlying technology is often similar, but the data sources and rules are completely different. Supply chain AI works with inventory levels, shipment data, and demand forecasts; finance AI works with invoices, ERP records, and contract terms. A solution needs to be built around your function’s actual data, not a generic template.
Do we need AI expertise in-house to deploy this in a specific department?
No. Every department-level engagement Sphere has delivered was built and supported externally, with a light training and handoff process for the internal team that would use it day to day. You need someone in the department who understands the workflow, not a data science team.
How do I know if my function is a good fit for AI?
The clearest signal is manual, repetitive volume: a team spending hours a week on tasks that follow a pattern — matching invoices, routing deliveries, checking inventory levels, scheduling shifts. If a function involves judgment calls made the same way over and over, it’s usually a strong fit.