What it takes to trust an AI agent
Trust is earned with evidence, some decisions stay with people, and choice drives adoption. Takeaways from our governance session.
See the council →InSync's AI agents take on the repetitive work in your operations, end to end, inside the systems you already use. Your people keep every decision, and you can see exactly what it's worth.
The same three forces are reshaping campuses and storefronts alike.
of service leaders expect contact volumes to keep rising over the next two years.
Work is outgrowing teams. McKinseyof organizations already have AI agents at work, and 23% are scaling them.
Agents are moving from talking to doing. McKinseyof common service issues will be resolved by agents by 2029, at about 30% lower cost.
Teams get time back for what matters. GartnerEach agent pulls the full context from your systems: who this is, what's due, what happened last time.
It completes the task end to end: answers, prepares the file, chases the document, reaches out, updates the record.
When judgment is needed, it routes to the right person with everything they need to decide.
Median days from first interaction to a request for information.
ASU OnlineCost per inquiry, against a $140 industry benchmark.
12-campus network vs. UPCEAOf interactions resolved without passing to a person.
Across production agentsOf pilots move into production, measured against a holdout.
All pilots to dateOur agents, agents we build with you, and agents you already run all work through the same services, connectors and controls.
One agent spots the risk, another pulls the context, another drafts the outreach. One job, done end to end.
Lift is tested against a holdout group, so each agent's value is a number, not an anecdote.
Agents you already run plug into the same connectors, controls and measurement, so everything is governed in one place.
Every campus and every retailer has work that no off-the-shelf agent covers. We design those agents with your team, for higher education and commerce alike.
One working session on how the work runs today and where it stalls.
Built in Agent Studio on the same services, connectors and guardrails as our own agents, so it arrives fast.
Shadow mode first, then live above your thresholds, measured against a holdout.
You set confidence thresholds and approval steps for every agent. Anything uncertain goes to a person, and every action is logged.
You decide where an agent recommends and where it acts. Consequential decisions stay with your people.
Help adapts to each person, and we review outcomes across groups with you to catch disparities early.
Agents draft every reply and file. Your team approves each one.
Agents act above the confidence threshold you set. The rest still comes to you.
Agents carry the volume, and we report results against agreed service levels.
Launches, short reads from our team and what we're learning with the council.
Agents that work together on one governed layer: one spots the need, another pulls the context, another takes the action. What changed, and what it means for teams running more than one agent.
Read the update →Trust is earned with evidence, some decisions stay with people, and choice drives adoption. Takeaways from our governance session.
See the council →How we route each task to the right model for cost, speed and quality, and what we learned running it at scale.
Read on LinkedIn ↗Why the services agents call matter more than the agents themselves.
Read →Turning the questions shoppers ask into better product pages and fuller catalogs.
Read →Straight answers on risk, results and what it takes.
No. Agents take the repetitive volume, like the same tuition question at 11pm or the fifth "where is my order?" of the hour, so your people spend their time on the conversations that need judgment. Consequential actions, such as messaging a student or approving a claim, go through approval steps you set, and every action is logged with who did it, when and why.
A chatbot answers. An agent finishes the job. It recognizes what someone needs from 600+ intents trained on real conversations, answers from your own content, then acts in your systems: creating the lead, sending the Canvas message, writing the credit equivalency, starting the return. When a person is needed, it hands off with a summary so nobody starts from zero.
We start with one workflow and scope a pilot that can succeed, then prove it on your live funnel against metrics we agree up front: response time, conversion, resolution rate or persistence. New agents start from a tuned template rather than a blank page, so the first one moves quickly. Once the number moves, we expand in stages.
It's built not to guess. Answers are grounded in your own content, every response is checked for accuracy, grounding and hallucination, and when the agent is unsure it says so or hands off. Agents run in shadow mode first, with your team approving each reply, and a person reviews sampled conversations every week. What we find becomes a content fix or a new intent.
Each customer runs in its own private environment on AWS. Personal data is masked before any language model sees it, retention is configurable from 20 minutes to 90 days, and you decide which models may touch which data. We hold SOC 2 Type II, GDPR and HECVAT, with an independent penetration test every year.
Our architecture is aligned with FERPA through isolation, data masking and access controls. The formal school-official designation is set up with each institution by contract, and our team can walk your compliance office through the detail.
We use several leading models and route between them. If one errors or slows, the platform switches automatically, and models are benchmarked monthly on quality, latency and cost. What we own is everything around the model, so you benefit as models improve without re-engineering anything.
Less than most teams expect. Point our web-scraping engine at your site and it keeps your content fresh, with no data pipeline to build. Most popular systems connect from day one, and a small InSync team takes the work from concept through pilot to measurable results.
No. Agents read from and write to what you already run, including Salesforce, HubSpot, Canvas, Blackboard, Zendesk, Gorgias and Shopify, always within the permissions you grant.
It depends on the agents, channels and integrations you need, so we scope it with you rather than publish a list price. Most teams start with one workflow, prove the value, then expand.
We build it with you. New agents are designed in Agent Studio on the same services, connectors and guardrails as our own, tested in a sandbox and approved before they go live.
We created the council so senior higher-education leaders could compare notes candidly on applying agentic AI to their hardest problems, and directly shape what we build.
Quarterly 90-minute sessions, plus an annual in-person dinner at ASU+GSV.
What it takes for an institution to trust an agent to act on its behalf. Governance is now the council's running theme, and members are co-designing a draft framework with us.
What actually makes something an agent, a live first look in an education setting, and where agents can have real impact across the student journey, and where institutions should be cautious.
First-term intervention strategies, the challenge of fragmented at-risk signals, and early results from AI assistants rolled out across member institutions.
InSync agents take on the routine work across enrollment, admissions, student success and financial aid. Your staff keep every decision and every relationship.
Trusted by leading universities and education partners
From 12-campus networks to the nation's largest online programsThe Enrollment Agent answers prospects on web, email and SMS around the clock. Lead Intelligence tells counselors who to call first and why.
Agents check every file for completeness, chase missing items and map transfer credit to your equivalency tables.
Every admission and credit decision stays with your evaluators.
Risk is scored daily from LMS activity, grades and attendance. Outreach goes out the same day, and advisors get a one-page brief.
Advising relationships stay with your advisors.
Agents answer FAFSA and aid questions in plain language, follow up on verification documents and take in appeals.
Packaging, awards and every Title IV sign-off stay with your staff.
Course materials and publisher content in one cited answer, opening the exact page inside Canvas.
A 30-second video from your own campus footage, ending with the prospect's name.
Registrar, orientation, housing, career services or a process only your institution runs: if your team does it by hand today, we can design an agent for it.
One working session on how the work runs today and where it stalls.
Built in Agent Studio on the same services, connectors and guardrails as our own agents, so it arrives fast.
Shadow mode first, then live above your thresholds, measured against a holdout.
The same platform helps shoppers find, buy and get support.
Beyond answering questions: agents that guide shoppers and PROs, take on real work for your teams, and turn every conversation into a better catalog. Always under your control.
Trusted by retailers and consumer brands
15M+ shopper interactions across our retail deploymentsAgents help shoppers decide and buy, support them after, and turn every unanswered question into a better product page.
What fits my room, my bike, my budget?
Project finderQuantity, fit and what else it needs
Coverage & compatibilityTo cart, as a sample or for store pickup
Guided sellingDeliveries, special orders, returns
Customer careEach gap becomes a fix to the site and catalog
Content & catalog↺ Each fix feeds the next conversation: better answers, fuller product pages, fewer repeat questions.
Pulls live order and store status instead of a canned answer, offers the next step before the shopper asks, and hands off to an associate with the full story.
Answers fit and compatibility questions the way your best associate would, matches skill level and builds the bundle.
Answers routine emails on its own with the same knowledge and order tools as chat. Damaged deliveries and upset customers go to an associate, with the fix prepared.
Reads shopper conversations for install and product questions the site misses, ranks them by how often they're asked and drafts the copy in your voice.
Finds the specs a product record leaves out, proposes each addition from the spec sheet, install guide or warranty, and waits for a merchandiser to approve.
Each one reuses the same services, connectors and guardrails, so new agents arrive fast.
Answers what's new and in stock nearby, and books spots at store events.
Ready to co-designTurns a materials list into a priced quote with job-site delivery.
Ready to co-designPicks up where the shopper left off, with a nudge to visit the store.
Adapts a built agentSpecial orders, delivery windows and pickup, before anyone has to call.
Extends live agentChecks what ChatGPT, Claude and Gemini tell shoppers about you, and routes each fix.
Ready to co-designFlags styles, colors and sizes shoppers want but can't buy, by store and region.
Ready to co-designChecks every answer and draft for voice, spec accuracy and install safety.
Builds on live controlsDrafts the reply and pulls order context, so your team starts at the answer.
Ready to co-designInstaller programs, warranty and claims, B2B quoting or a process only your stores run: if your team does it by hand today, we can design an agent for it.
One working session on how the work runs today and where it stalls.
Built in Agent Studio on the same services, connectors and guardrails as our own agents, so it arrives fast.
Shadow mode first, then live above your thresholds, measured against a holdout.
Orders, loyalty, open tickets and last conversation
Cited answers on products, shipping and returns
Pre-purchase, order and support intents
Themes from reviews, tickets and returns
Recommend, compare, add to cart
Post-purchase risk with tested interventions
Customer care, email, content and catalog agents. Best for quick wins.
Your voice, policies and the questions your shoppers and PROs ask.
New agents for moments only your business has, designed in Agent Studio.
Customer data masked before any AI call · your own isolated environment · every action logged · nothing publishes without your approval.
The same platform runs enrollment, student success and aid for leading universities.
A 30-minute session. We'll map one workflow end to end and show how we'd measure the result.

AI answers from InSync's published materials. A person follows up on anything specific.