AI engineering for B2B teams
AI built around how your business works.
Custom workflows, agents, and connected systems that reduce manual work and put company knowledge to use.
01 · How it connects
Connect your systems.
Command the outcome.
Ask in plain English. Get the answer, the evidence, and the next action.
02 · Ask in plain English
Get the answer, the evidence, and the next step.
Response · illustrative
● Querying CRM, ERP, docs- 11 quotes over $10k with no reply in 10+ days
- 4 are with accounts that ordered last quarter
- Follow-up drafts ready for 4 reps
Pipeline at risk
—
Drafts ready
—
03 · Watch a workflow run
The inbox is filling up.
TriggerEmail from purchasing@harborline-supply.example: “Where is PO 48213?”
RunningAgent tasks
- Read inquiry, extract PO number
- Look up order 48213 in ERP
- Fetch carrier tracking
- Draft reply with ETA
Prepared for review
- PO
- 48213
- Status
- Shipped, 2 of 3 pallets
- Carrier
- Freight, PRO 7731-0042
- ETA
- Thu, Nov 12
Reply sent · 4 min after arrival
Hover to pause. Names, numbers, and documents are invented to illustrate the flow.
Try it · Project Explorer
Sketch your project in two minutes.
Type one sentence. See how it could work and the time it might save.
Runs in your browser. Nothing is sent.
04 · How it's built
A connected stack, assembled around your business.
Layer 4
Interfaces
Email drafts, Slack and Teams answers, dashboards, approval queues
Layer 3
Agents & workflows
Task-specific agents that extract, look up, draft, and route
Layer 2
Integrations
Connections to the systems you already run, scoped to what each task needs
Layer 1
Company data
Your records and approved documents. They stay yours.
05 · Controls
Built for review, not blind trust.
Human approval where it matters
Steps that send, post, or change records can require a named person to approve first.
approval steps · thresholds · escalation
Least-privilege access
Each workflow gets only the system permissions its task needs, agreed with you in writing.
scoped credentials · read vs write · revocable
A record of every action
What ran, what it read, what it changed, and who approved it, kept where your team can review it.
run logs · source references · change history
Your data stays yours
We document where data goes and which model providers are used, so your team can review it.
documented data flow · provider review · handover
Richmond AI Studio
Put your systems to work together.
Describe one process. We'll show you what a scoped first project could look like.
Describe your project