Software & Tech Platforms
The AI support agent on your roadmap. Already built.
Every product team has it in the backlog: an assistant that answers from your docs, knows your product, and shows up where users get stuck. Building it well means a retrieval pipeline that doesn't hallucinate and someone senior enough to own it indefinitely. Digital Experts is that feature already built, embedded under your own brand in your product and your docs.
Book a DemoThe problem
You ship every two weeks. Your users find out by accident.
You release fortnightly. The docs catch up quarterly, if you're lucky. In between, users hit friction at midnight, can't self-serve the answer, and either open a ticket or quietly stop using the feature.
The release that shipped the thing they're asking for. It's in the changelog. Nobody reads the changelog.
Right now, while support is offline
“How do I export just the filtered rows? I can only find export-all.”
“Does the API fire webhooks on status change, or do I have to poll?”
“New admin here. I need SSO working for the whole workspace before Monday. Where do I start?”
Meet your experts
Three specialists, under your brand.
The In-Product Expert.
Embedded where users get stuck, under your own branding. Answers “how do I...” from your docs, with a link to the exact page.
The Docs & Changelog Expert.
Ingests your docs, API reference and release notes automatically. Ship a feature on Tuesday, and it can talk about it the same day.
The Onboarding Expert.
Walks new users and admins through setup at their own pace, nights and weekends included, when CS and support are offline.
- In-app help panel. Opened from the spot the user is stuck on.
- Docs site. Beside the search box, so a question gets an answer, not a results list.
- Onboarding and release emails. A direct link. No login, no app.
- Before the ticket form. “Ask first”, with a clean handoff to support.
A day with your experts
Walk them to the feature. Link the doc. Know the limits.
Example · In-Product Expert
How do I export just the filtered rows? I can only find export-all.
Filtered export is under the filter bar, not the Export menu. Apply your filters, click the three dots at the right of the bar and choose “Export these rows”.
Here's the doc: Exporting filtered data. It arrived in v4.2, so if you don't see it, refresh.
Walked to a feature they'd never found, with the doc and the release it shipped in.
Example · Onboarding Expert
Setting up SSO for the workspace. Also, is SCIM provisioning coming? We need it.
SSO is a four-step setup under Admin › Security › Single sign-on. Here's the guide: Configure SAML SSO with Okta. Step 3 is where most people get stuck.
On SCIM: I only answer from the published docs, so I can't speak to the roadmap. I've passed your request to the product team with your workspace details.
Setup guided; the roadmap question declined honestly and routed to product.
Feature discovery
The feature you built, nobody found.
Before
- Filtered export ships in v4.2. It's in the changelog. Usage stays flat.
- Users search the help centre, get eleven results, open a ticket instead.
- Tooltips cover the flows you anticipated. Nothing covers the edge case.
- You learn the feature was invisible from a churn interview.
With Digital Experts
- “How do I export filtered rows?” answered in-app, with the doc, the night it's asked.
- One question, one answer, one link to the exact page.
- A real conversation covers the edge case you never designed a tooltip for.
- Topic Trends shows which features confuse people, weeks before the interview.
The actions that fire
When it should be a human, it's the right human.
You decide which moments trigger an Action: frustration in an enterprise account, a feature request, a question the docs can't answer. The context is collected once, then routed to Slack, Teams, Email, WhatsApp or Monday.com.
What your team receives · illustrative
Frustration signal, enterprise workspace. New admin stuck at SSO step 3 twice, Monday deadline mentioned. Workspace, plan and contact attached.
Feature request: SCIM provisioning. Requested during SSO setup by an enterprise admin. Use case: automated offboarding. Contact captured.
Briefed ticket. Webhook deliveries failing after the retry-policy change. Doc surfaced; issue persists. Endpoint and account attached.
Build vs. embed
It isn't a build decision. It's a maintenance decision.
The intelligence angle
Feature adoption intelligence, not just support metrics.
- Topic Trends. Which features generate confusion, and which new ones nobody asks about at all.
- Knowledge Gaps. The docs pages that fail users, with the exact questions they couldn't answer.
- User Mood. Where frustration concentrates, by feature and account, while there's time to act.
- Efficiency Calculator. Support hours handled by the experts, as a figure for the build-vs-embed conversation.
Questions platforms ask us
Couldn't we just build this ourselves?
You could. Budget for a retrieval pipeline, a knowledge base that survives every release, guardrails, and an owner in eighteen months. Or embed Digital Experts and spend the roadmap slot on something only you can build.
Can it keep up with weekly or biweekly releases?
Yes. Update the knowledge base in minutes each release, and every conversation reflects the change immediately.
Does it look like your product or ours?
Yours. Name, avatar and tone of voice are set in Brand Studio, embedded in your product and docs. It carries your brand, not ours.
How it works
Live in days. We're with you every step.
Week one
Build the brain, together.
We work alongside your team to turn your guides, FAQs and policies into a knowledge base. You review, refine and approve every word.
Week two
Shape the experts.
Names, faces, fields and tone of voice. Brand Studio gives you complete control, right down to how they say hello.
You're live
Deploy everywhere.
Your website, QR codes on print and packaging, links in email and social. Conversations start in seconds.
Meet your Digital Experts.
In 30 minutes, we'll show you a live Digital Expert built for an organisation like yours, and map what yours would know, say and save.
Book a Demo
