AI & Intelligent Automation

AI that moves a number, not just a checkbox.

Purpose-built AI grounded in business value — where it actually creates outcomes, governed from day one, threaded across every service we deliver.

See how we deploy AI → Find my solution

We start with the problem,
not the model.

Every AI engagement begins with what your business is trying to do. Then we ask where AI creates real leverage — and where it doesn't. Only then do we choose the tools. That's the difference between AI that ships and AI that stalls.

How we do AI

Strategy first. Tools second.

When AI underdelivers, the model is rarely the reason — the decisions made before it was chosen are. Our discipline is built to get those right first, so what we ship is set up to deliver from day one.

Tied to a number

We find where AI moves a metric your leadership already tracks — not wherever it happens to fit technically.

Avoids AI added where it can be, not where it creates value

Grounded in your reality

Every model connects to your real data and process, so answers reflect how the business actually works — not what a foundation model happens to know.

Avoids fluent-but-wrong output from models that don't fit the work

Built for adoption

Change management, training, and workflow integration are planned from day one — so what we ship actually gets used.

Avoids the feature that ships, and nobody uses

Governed and provable

AI Control Tower, audit trails, role-based access, an Approved Usage Policy (AUP), and human oversight — built into delivery, not bolted on. You can always show where AI is running, who's cleared to use it, and how it's performing.

Avoids “it seems to help,” with no way to measure or scale it

Across every service

Purpose-built. Grounded. Governed.

That same discipline runs through everything we build. AI isn't a separate product line at Convene — here are the six capabilities, and how each one shows up across ServiceNow, Salesforce, and Custom Development. Select a capability to see it in action.

Click any numbered row (01–06) to see how it runs across your services

AI-accelerated build · how software gets made

Accelerated Engineering

AI woven into how we build software — automating repetitive engineering work, drafting test coverage, refactoring safely, and shortening the loop from ticket to shipped code. Your team keeps the reviews, we accelerate the drafts.

In ServiceNow

AI-drafted flows, business rules, and script includes — reviewed by architects before deploy, so you get velocity without governance debt.

In Salesforce

AI-drafted Apex, LWC components, and flow logic — safe to review, faster to ship, and grounded in your metadata model.

In Custom Development

AI-accelerated code generation, test authoring, and refactoring across your stack — with reviews staying in your engineers’ hands.

Code generationTest authoringRefactoringAutomated review

Engagement models

Four ways to engage — pick what fits the moment.

Start narrow to prove value quickly, run continuous to scale what works, blend the two to move fast and expand deliberately — or hand us the ongoing operation once AI is live. Each engagement carries the same senior team and the same governance.

Accelerator · 3–6 weeks

AI Discovery

Quick, defined outcome

A focused pilot on one high-value use case, taken from problem framing to production. Best when you need proof before broader investment — with a real production hand-off, not just a slide deck.

Continuous

Dedicated AI Team

Sustained delivery

An embedded, senior AI team working across your roadmap — evaluating new capabilities, extending existing ones, and running the governance program alongside. Best for sustained multi-year investment.

Blended model

Hybrid

Fast start, scale as you grow

Start with an Accelerator to prove value, then expand into a dedicated team as scope matures. The pilot team becomes the program team — no rebuilding institutional knowledge.

Managed · ongoing

Managed AI Operations

Run it safely, long after launch

The layer most teams miss: continuous oversight once AI is live — monitoring every agent, enforcing governance and your Approved Usage Policy, managing the security framework, and catching rogue or unauthorized agents before they cause harm. Deployment is the start of the work, not the end of it.

Let's talk about the number you're trying to move.

Schedule a free comprehensive consultation and we'll help you scope where AI creates real leverage in your business — and where it doesn't. No model shopping, no pilot purgatory.

Schedule a free consultation → Find my solution