AVENS

Access to AI isn't the advantage anymore.

What you build with your own data is the new advantage.

Avens is a forward-deployed AI implementation firm for the physical economy, working with manufacturing, distribution, and field service companies. We go onsite to help you decide what to build and what data it should run on, then hand you the exact agents, their cost, and the outcome each one delivers, before you commit to anything bigger.

Not consulting. Not staff augmentation. An implementation partner that owns the outcome.

Apply for a sprint

The offering

One department at a time. Tap a step to see what's included.

Sprint engagement overview
A short, paid engagement where our team goes onsite, inside one department. Avens observes and documents how the work actually happens, then builds working prototypes in real time.
2–4 weeks, onsite Real workflow, not a meeting Working prototypes, built live Priced recommendations
Recommendations are delivered as validated prototypes, as evidence before any larger investment decision.
A two-way conversation about your business and where AI could actually help.
Understand your business Answer your AI questions Assess sprint fit
If it's a fit, you sign on for the sprint.

Think a sprint's worth exploring?

Talk to us

Why Avens, not the alternatives

Forward-deployed AI implementation is becoming a major category. Here's what we do differently.

01
Built on your stack, not a platform
The system runs on your infrastructure, not a separate platform you're routed through. Nothing about your business feeds into a product we sell to someone else.
02
Priced and scoped before we start
A fixed sprint, agreed upfront, not an open-ended enterprise contract you find out the cost of later.
03
Sized for a department, not an enterprise program
A bounded, embedded engagement scoped to one department, not an eight-figure, company-wide transformation contract.

Who this is for

Work's piling up, quietly.
Not billable, not urgent, never goes away. Eating your margin without anyone able to point at why.
No AI team, or no one who can carry it alone.
Someone can scope it, maybe. Nobody can safely build, secure, and ship it. You need results, not headcount.
Internal build, not secure enough to roll out.
Works fine for the person who built it. One edge case away from a real risk if opened to the team. We make it safe to roll out.
No clear starting point.
Leadership agrees AI should be doing more. Nobody can say where to start, or what it's worth.
The AI bill keeps climbing, and no one can say why.
Most companies can't tell if they're overpaying for simple work or underpowering the important stuff. We build that judgment into the system itself.

How we manage risk

Risk here isn't just technical; it's sunk cost.

Small upfront cost, not a big bet Proof as a working prototype, not a promise Direct insight into which agents run fully autonomously, and which keep a human in the loop

Every recommendation quantifies:

Revenue uplift Cost savings Time savings Risk mitigated

You see the evidence and the numbers before you commit to the build.

Which AI do we support?

The models running underneath what we build, chosen by fit, not by vendor relationship.

Managed frontier models
  • OpenAI (GPT)
  • Anthropic (Claude)
  • Google (Gemini)
  • xAI (Grok)
Open-weight models
  • Meta (Llama)
  • Google (Gemma)
  • OpenAI (gpt-oss)
  • Others
Built where your business already runs
  • Microsoft Azure / Foundry
  • AWS / Bedrock
  • Private cloud
  • On-premises infrastructure

Systems we work with

Separate from the AI itself, this is the software and data your team already uses. Whatever the department runs on, spreadsheets included. Below are a few common examples, not an exhaustive list.

Sales & CRM
  • Salesforce, HubSpot, Microsoft Dynamics
  • Outreach, Salesloft
Operations & manufacturing
  • SAP, Epicor, NetSuite, Infor
  • MES and QMS platforms
Finance
  • QuickBooks, NetSuite, Sage
Marketing
  • HubSpot, Marketo, Google Analytics
  • Mailchimp, Salesforce Marketing Cloud
Customer service
  • Zendesk, Freshdesk, Intercom
  • HubSpot, Salesforce Service Cloud
HR
  • Workday, BambooHR, ADP
IT
  • ServiceNow, Jira Service Management
  • Okta, Microsoft Entra ID
  • Datadog, CrowdStrike
Cloud infrastructure
  • Snowflake, Databricks, Data Clouds
  • AWS
  • Google Cloud, Google Workspace
  • Microsoft Azure, Microsoft 365
Plus
  • Spreadsheets, email, internal databases

Use cases by department

A few examples of what this can look like, not the limit of what we build.

Operations
  • Predict equipment issues before they cause downtime
  • Automate quality checks against known defect patterns
Customer service
  • Handle routine tickets, escalate only what needs a person
  • Auto-summarize calls and cases
Sales
  • Score and rank leads or accounts by fit and win probability
  • Auto-draft personalized outreach and account research
Marketing
  • Generate and test campaign variants automatically
  • Turn performance data into a clear read on what's working
Finance / back office
  • Automate invoice capture, matching, and exception flagging
  • Automate expense and reconciliation review
Human resources
  • Answer benefits, PTO, and policy questions automatically
  • Screen and match candidates to open roles
IT
  • Auto-triage and route support tickets
  • Flag security anomalies in real time

Get started

A short conversation to see if a sprint's the right fit for your business. No commitment, just a conversation.

Apply below, and if it looks like a fit, we'll set up a time to talk.