Back to overview
Tier 3 · Enterprise · scoped per project
Decision-grade AI systems, built around your operation
The deep end. Custom infrastructure, multi-partner integrations and end-to-end automation — the kind of AI you build a process on, not just a quick win you bolt on.
Typical timeline
5–12 weeks
Built for
Scale & governance
Pricing
Scoped per project
The idea
What “Enterprise” means
These are systems, not features. They connect deeply to your infrastructure, span multiple partners or whole processes, and are built with the security, governance and reliability that decisions depend on. Engagements run a few weeks to a couple of months and are scoped to your specific operation. Here are five we can build.
Five enterprise solutions
Systems you can build an operation on
Real, working examples — each with the architecture, a live mini-view, and the kind of impact it delivers.
Use case 05 · Strategic decisions · Partner Intelligence
Know which partners to trust — before you commit
AI studies the patterns across every supplier, carrier and partner you work with, scores their reliability, and tells you who to lean on and who’s quietly slipping.
AI partner intelligence
You work with dozens of partners — but who’s actually reliable?
“We renewed a supplier on gut feeling, then realized their on-time rate had been sliding for months. The data was there — we just never had time to see it.”
Without AI
!Partner decisions made on gut feel and last impression
!Declining performance noticed far too late
!Data sits scattered across reports no one reads
With AI
✓Every partner scored on real, up-to-date performance
✓Early warning the moment someone starts slipping
✓One clear ranking — decisions backed by data
Supplier reliability rankingAI-scored · live
1Supplier A92reliable
2Supplier B78reliable
3Supplier C71stable
4Supplier D58declining
Recommended: shift volume toward Supplier A — review terms with Supplier D before renewal.
AI continuously analyzes performance across all your partners — on-time rates, quality, response, history — and turns scattered reports into one clear, scored ranking with a recommendation, so you commit, renew and negotiate backed by data, not gut feel.
Pulls from the systems you already run:
ERP / SAPLogistics / TMSSpreadsheetsInternal DBCustom API
What one bad partner decision costs you
Drag to match your businessExposure you can catch early
Catch up to
$24,000
per year at risk from weak partners
Spotted months earlier, not after the damage
Setup pays back on a single avoided failure
Illustrative. The real value is catching a declining partner before a costly failure. Setup from $2,500 + usage.
Use case 06 · Finance & risk · Anomaly Detection
Catch the costly error hiding in thousands of rows
AI watches your transactions, payments and operational data around the clock — and flags the few that don’t fit, before they quietly cost you money.
AI anomaly detection
The one wrong number hides in thousands of right ones
“We paid the same invoice twice and only found it during the quarterly review — $4,200 gone, three months after the fact.”
Without AI
!Duplicates and errors slip through unnoticed
!Problems surface months later, if at all
!No one has time to scan every line manually
With AI
✓Every transaction checked against the pattern
✓Outliers flagged instantly, with the reason
✓Caught the same day, not next quarter
Anomalies detectedlive · this month
Duplicate payment$4,200flagged
Unusual spike · Vendor X$28,750flagged
Off-pattern charge$873flagged
3 issues caught this month — reviewed and resolved before payment cleared.
AI learns what “normal” looks like across your data, then continuously flags what doesn’t fit — duplicate payments, unusual spikes, systematic drift — with a clear reason for each, so problems get caught the same day, not next quarter.
Watches the systems you already run:
AccountingBank feedsERP / SAPInternal DBCustom API
What slips through unnoticed every year
Drag to match your businessMoney quietly leaking per year
Recover up to
$153,600
in errors, duplicates & off-pattern charges
Most of it recoverable if caught in time
Setup pays back on a few caught errors
Illustrative. Even a fraction of a percent across many transactions adds up fast. Setup from $3,000 + usage.
Use case 07 · Infrastructure · Custom MCP solution
One secure layer that connects AI to everything you run
A custom MCP server lets an AI assistant safely reach into your real systems — SAP, databases, CRM, documents — and answer or act on live data, with every request governed and audited.
Custom MCP integration
Your data is everywhere — and your AI can’t safely touch any of it
“We have the data — in SAP, in the CRM, in a dozen spreadsheets. What we don’t have is one safe way to actually ask it a question and trust the answer.”
Every request authenticatedScoped, read-only by defaultFully audited
Without AI
!Data siloed across systems no one can query together
!Generic AI tools that can't see your real data — or see too much
!Every answer needs a developer or an export
With a custom MCP
✓Ask in plain language, answered from live systems
✓Access scoped, governed and logged per request
✓One layer every future AI tool can safely build on
What’s included
Custom MCP server built around your stack and hosted in your environment
Connectors to your key systems (SAP, DB, CRM, file stores)
Access controls — scoped permissions, read-only defaults, audit log
AI assistant wired in (chat, internal tool, or your app)
Evaluation on your real queries before go-live
Handover & support so your team can extend it
Use case 08 · B2B operations · Multi-partner hub
One intelligent hub for every partner, store and direction
When you work with dozens of partners on different systems, AI becomes the layer in the middle — orders, stock, documents and reconciliations flowing between all of them automatically.
Multi-partner integration
Every partner on a different system — and you in the middle, by hand
“Thirty partners, five different systems between them, and a team copying orders and stock levels back and forth all day. One missed update and a shipment goes wrong.”
Partner transactions handled — manual vs. hub
As partners grow, manual handling breaks down — the hub scales flat
Manual effort (hrs/wk)With hub (hrs/wk)X-axis: number of partners
Without AI
!Orders & stock copied between partners by hand
!Each new partner adds more manual work
!One missed update cascades into wrong shipments
With the hub
✓Orders, stock & docs sync automatically between all parties
✓Adding a partner is config, not more headcount
✓One dashboard showing every partner's status live
The kind of impact this delivers
Hours→mins
partner onboarding & daily sync, once automated
Flat cost
add partners without adding operations headcount
Fewer errors
no manual re-keying between partner systems
Use case 09 · Operations · End-to-end automation
From raw data to a live decision dashboard — on its own
Several AI functions working as one system: documents come in, AI understands them, checks for anomalies, takes the routine action, and everything lands on a dashboard leadership actually trusts.
End-to-end intelligent automation
The work gets done, but no one can see the whole picture
“Data comes in five formats, three people touch it, and by the time it reaches a report it’s a week old. Leadership is steering by last month’s numbers.”
How the pipeline runs
1 · Ingest — documents, emails & feeds in any format, automatically
2 · Understand — AI extracts and structures every field
3 · Check — validates and flags anomalies before they spread
4 · Act — routine actions taken automatically, exceptions escalated
5 · Dashboard — live KPIs leadership can trust, updated continuously
Human-in-the-loop — people approve what matters, not the routine
Data freshness: from week-old reports to live
Time between data arriving and being decision-ready (hours)
Manual (hrs)Automated (hrs)
Without AI
!Data handled piecemeal by several people
!Errors found late, downstream
!Leadership decides on stale numbers
With end-to-end automation
✓One pipeline from raw input to live dashboard
✓Anomalies caught the moment they appear
✓Decisions made on today's data, not last month's
The kind of impact this delivers
Days→live
data is decision-ready continuously, not weekly
Caught early
anomalies flagged before they cost money
Freed teams
people approve exceptions, not push paper
How we deliver an Enterprise build
Structured, scoped, and de-risked — with you in control at every gate.
01
Discovery & scope
We map your systems, data and goals, then scope a concrete build with clear deliverables.
Week 1–202
Build & integrate
We build against your real systems in stages, with security and governance baked in from day one.
Weeks 3–803
Validate & hand over
We evaluate on your real data, roll out with human oversight, and hand over so your team can run it.
Final weeksKeep exploring
Not sure you need the deep end yet?
Let’s scope your system
Book a discovery call. We’ll map your systems and goals, then come back with a concrete, scoped proposal — no obligation.
Book a discovery call