Skip to content
Arise Agentic

Use cases

See how the work could flow.

A useful system has a clear job. Explore the problem it handles, the steps involved, and where it fits into a business.

01

AI agent systems

The work of an operation is split across an inbox, a CRM, a calendar and a pile of follow-ups, so the same people spend the day moving information between tools.

Useful for: Small and mid-sized businesses · Departments of larger companies · Professional services · Operations teams

Explore AI agent systems →
How the work moves
  1. 1

    Discovery maps the operation, the tools and the handoffs that eat the week.

  2. 2

    We design each agent's role and the guardrails: what it may do, and what waits for a person.

  3. 3

    We build the agents and connect them to the tools you already use, with people still approving the decisions that matter.

What this can include
  • Coordinated agent team for one operation

Typical tools: Email inbox · CRM · Calendar · Spreadsheets and documents · Team chat · Accounting

How it works, in detail

A team of agents, not one bot

  1. Work arrives
  2. The owning agent takes it
  3. Hands off to the next role
    👤 Key decision: waits for a person
  4. Logged for the team

A single assistant can answer a question. An agent system splits the operation into roles. One agent triages the inbox and routine client questions. Another works leads and follow-ups. Another prepares the report and lines up routine finance tasks. An operations agent keeps the handoffs moving. Each agent only does its job, writes down what it did, and passes the next step on. If the step is sensitive, unclear, or would commit the company, it waits for a person. We run our own operations on agent systems like these.

02

AI agents & assistants

Every new customer, member or partner means emails back and forth, missing details and someone retyping information, and simple 'do you have…?' questions wait for a person.

Useful for: Communities & memberships · Marketing networks · Professional services · E-commerce · SaaS · Financial services

How the work moves
  1. 1

    A person starts a chat through a private link or your channel, and the assistant collects and checks the information you need.

  2. 2

    It creates or updates the record in your CRM and routes the case to the right teammate for sign-off.

  3. 3

    A search bot answers catalog questions instantly, around the clock.

What this can include
  • AI onboarding assistant in Telegram
  • Self-service catalog search bot in chat
  • Internal knowledge assistant that answers staff questions from your documents
  • AI agents for repeat tasks and document reading

Typical tools: Telegram · WhatsApp · Slack · Web chat · AI models · HubSpot · Google Drive / SharePoint · Microsoft Teams

How it works, in detail

Community & chat onboarding bots

  1. Member taps Join
  2. Email checked
  3. Matched to CRM record
    👤 No match: captured as new for review
  4. Join request queued
  5. Team alerted
  6. Approved in one tap

Private communities on Telegram, WhatsApp or Slack are a powerful way to keep customers and partners engaged, but gatekeeping them by hand doesn't scale. Our onboarding bots greet new members, collect and validate their details, match them to the right record in your CRM, and queue a join request for your team, with an instant alert containing everything needed to approve in one tap. Once members are in, your CRM drives the engagement: welcome messages for new members, nudges for people who've gone quiet, and personalized follow-ups based on what each person cares about. You get a clean member list tied to real customer records, faster approvals, and a community managed from data instead of memory.

AI onboarding assistants that remember

  1. Message arrives
  2. Earlier answers reviewed
  3. Request understood
  4. Rules check the reply
    👤 Unclear or asks for help: handed to a person
  5. Saved, then sent
  6. Ask for the next missing detail

New customers, vendors and applicants all need someone to walk them through the next step, answer questions and collect what's missing. Our AI assistants do this in chat, around the clock, without going off script. Each conversation has its own memory, so the assistant knows what's been answered and asks for one missing item at a time. The AI's job is narrow: it understands what the person said and drafts a reply. What gets saved, what gets sent and to whom is checked by fixed business rules first. Answers come from an approved library built from your best past conversations. The assistant never invents policy, never approves anything on its own, resists manipulative messages, and hands off to a person the moment someone asks or the situation is unclear.

03

Connected apps & data sync

Data lives in several platforms, so people export spreadsheets, retype records and work from numbers that are already stale.

Useful for: E-commerce · Agencies · SaaS · Financial services · Logistics · Multi-location businesses

How the work moves
  1. 1

    Webhooks and scheduled jobs pull changes from each platform as they happen.

  2. 2

    Records are cleaned, matched and written to your CRM, or to a database we build when one is needed.

  3. 3

    Failures retry automatically and alert a named owner.

What this can include
  • Catalog and business data synchronization
  • Operational databases built to connect the systems

Typical tools: Make.com · n8n · Airtable · Supabase / Postgres · HubSpot · REST APIs & webhooks

How it works, in detail

Always-accurate catalog & data sync

  1. Platform change or nightly run
  2. Prepare an update
  3. Complete & reconciled?
    ⏸ Not complete: stop, yesterday's data stays live
  4. Save and verify each group of records
  5. Check the saved records
  6. Make the checked update available

Your catalog, product or inventory platform is the source of truth, but your team works out of spreadsheets, CRMs and bots that drift out of date. We build a sync layer that keeps every downstream tool in step. Changes flow in instantly through event triggers, and a nightly full refresh rebuilds the complete picture: every item, every description and term, and recent performance. The refresh builds into a standby copy, checks that nothing is missing and the numbers reconcile, writes in small verified batches, then reads everything back before switching over in one step. If anything looks wrong, yesterday's good data stays live and the issue is flagged. No half-loaded tables, no silent gaps: one trusted dataset your dashboards, scoring, bots and portals can depend on.

04

CRM intelligence

The CRM holds names and emails, but the numbers that matter live elsewhere, so segments are guesses and campaigns go to everyone.

Useful for: SaaS & partner programs · E-commerce & DTC · Agencies · Marketing networks · Financial services · Membership businesses

How the work moves
  1. 1

    Performance, billing and campaign data is synced into CRM properties on a schedule.

  2. 2

    The full dataset is analyzed to build segments and lists that update themselves.

  3. 3

    Behavior changes trigger the right campaign, message or task, drafted for approval where it matters.

What this can include
  • Finance, billing and campaign data connected to your CRM
  • Customer segments and contact lists built from your business data
  • Performance-triggered campaigns & workflows

Typical tools: HubSpot · Salesforce · Any CRM with an API · Make.com / n8n · Airtable / Supabase

How it works, in detail

From raw activity to segments and triggered campaigns

  1. Platform & billing data
  2. Customer records updated
  3. Segments update themselves
  4. Behavior change detected
  5. Follow-up or campaign
    👤 Campaigns drafted, sent only after approval

We connect your platforms to your CRM so each contact and company carries live performance properties: what they bought, how active they are, how they're trending. From there, segments maintain themselves: high performers, niche specialists, new, active, inactive and ready to re-engage. Workflows watch for changes (a first purchase, a drop in activity, a milestone reached) and trigger the right follow-up: a welcome, a nudge, a personal call task for the account owner, or a campaign drafted in the CRM and held for approval. Reports and benchmarks come from the same data, so marketing, sales and leadership finally work from one set of numbers.

05

Matching & recommendation engines

Customers and partners only hear about a fraction of what you sell, and matching them to the right products is guesswork done by hand.

Useful for: E-commerce & retail · Marketing networks · Marketplaces · Financial services · Travel & hospitality

How the work moves
  1. 1

    Your catalog refreshes daily from its source systems.

  2. 2

    Each customer or partner profile is scored against every option using your rules and past results.

  3. 3

    The top matches are delivered through chat, the portal or a sales queue.

What this can include
  • Matching & recommendation engine on a daily-refreshed catalog

Typical tools: Supabase / Postgres · Scoring models · AI models · Chat & portal delivery

How it works, in detail

Matching engine with a preference center

  1. Nightly scored catalog
  2. Customer profile & preferences
    👤 New sign-up: verified by your team first
  3. Best matches ranked
  4. Checked against profile
  5. Sent once, delivery confirmed

Most businesses have the right product for a customer; they just can't find it fast enough. We build matching engines that score every item in your catalog on performance, momentum and fit, score every customer or partner on behavior and preferences, and pair them automatically. Customers manage their own preferences through a simple chat bot or web form: the categories they care about, how often they want to hear from you, and what to exclude. Each recommendation is checked against their profile before it goes out, every message is sent once to the right person and confirmed delivered, and new sign-ups are verified by your team before they're switched on. One engine can power your emails, chat channels, portal and sales outreach, with a clear log of what was matched, why and when.

06

Scoring, analytics & dashboards

The numbers live in a dozen tools, so every report is assembled by hand, and nobody can see which customers, partners or channels are actually improving.

Useful for: SaaS · E-commerce · Agencies · Marketing networks · Multi-location businesses · Healthcare clinics

How the work moves
  1. 1

    Data from your CRM and other systems is pulled into one place and scored daily, weighting recent results more heavily.

  2. 2

    The opportunity dashboard ranks what to act on next, scored out of 100 with confidence, supporting information and a suggested next action.

  3. 3

    Funnel and activation reports show where people stall between signup and first value.

  4. 4

    A unified dashboard puts KPIs, alerts and drill-downs in one place, with actions limited to authorized team members.

What this can include
  • Opportunity-scoring dashboard
  • Daily performance scores and monthly reports
  • Reports on customer signups and drop-off points
  • Unified business dashboard across CRM, accounting, payments, ads and support

Typical tools: Supabase / Postgres · HubSpot · Accounting & payments data · Ad platforms · Google Sheets / Airtable

07

Review, screening & approval

Applications and requests pile up waiting for someone to check them, decisions are inconsistent, and AI is off-limits because nobody can control what it says.

Useful for: Financial services · Healthcare clinics · Marketing networks · Professional services · Marketplaces

How the work moves
  1. 1

    New applications are screened against your criteria every few hours.

  2. 2

    Routine cases clear automatically; exceptions are queued for a person with everything they need.

  3. 3

    AI-drafted answers sit in an approval queue until a named reviewer signs off.

What this can include
  • Rules-based application screening, every few hours
  • Intake → review → proposal pipeline
  • AI reply drafting with human approval

Typical tools: Rules engines · AI models · HubSpot · Approval queues · Audit logs

How it works, in detail

Automated approvals & screening

  1. Scheduled run
  2. Collect open requests
  3. Meets your rules?
    👤 Edge case: routed to a person with context
  4. Approve
  5. Every decision logged

If your team spends hours approving applications, access requests, vendor sign-ups or orders that follow the same rules every time, we can automate it. Your criteria become a transparent rules engine that checks every new request on a schedule, approves the ones that clearly qualify, and routes edge cases to a person with the context they need. Every decision is logged with the reason, so you can audit it, tune it and explain it. We also build the reverse: scoring that spots stale, underperforming or risky records and flags them for review before they clutter your operations. Approvals move faster, your team only touches the exceptions, and your database stays lean.

08

Sales & customer service automation

Requests arrive by email, chat and forms with no single queue, so follow-ups slip and nobody can see what's open.

Useful for: SaaS · E-commerce · Financial services · Healthcare clinics · Marketing networks · Property management

How the work moves
  1. 1

    Every signup, support request or compliance case becomes a ticket automatically.

  2. 2

    Tickets land in the right pipeline with an owner, priority and full context.

  3. 3

    Status updates and reminders run on their own until the ticket closes.

What this can include
  • Automatic CRM tickets for onboarding, support and compliance
  • Lead routing and automated follow-up sequences
  • AI-assisted sorting and routing for support inboxes

Typical tools: HubSpot · Salesforce · Make.com · Forms & chat · Shared inboxes · AI drafting

How it works, in detail

Request → ticket → response deadline

  1. Request comes in
  2. Open ticket already?
    ⏸ Already open: added to the existing ticket
  3. Ticket created for the owner
  4. Deadline & reminders
  5. Answered & closed

Every request (a form, a portal message, a signup that needs checking) becomes a ticket in the right CRM pipeline, owned by the person who owns that customer. Before creating anything, the system checks for an open ticket from the same person so nothing is duplicated. Each pipeline has a response deadline, such as next business day, and reminders run until it's met. Customers get an acknowledgement right away, owners get the full context, and leadership can see response times by queue, so service levels stop depending on who happens to check the inbox.

09

Rewards, referral & loyalty with ledger

Referral and loyalty programs run on spreadsheets: bonuses are calculated by hand, balances drift, payouts are disputed and nobody can prove what was owed.

Useful for: E-commerce & DTC · SaaS & partner programs · Marketing networks · Financial services · Membership businesses · Franchises

Explore the rewards workflow →
How the work moves
  1. 1

    Qualifying actions are tracked and credited by your rules, with milestones and tier multipliers over each earning cycle.

  2. 2

    Every credit, adjustment and settlement posts to a ledger with a full audit trail.

  3. 3

    Members track progress in a multilingual portal; referral programs add claims, caps, external referrers and referral bonus campaigns.

What this can include
  • Rewards & loyalty portal with ledger
  • Referral / affiliate program setup

Typical tools: Make.com · Airtable · Custom web portal · HubSpot sign-in · Ledger

How it works, in detail

Rewards, loyalty & incentive programs

  1. Nightly activity feed
  2. Ledger entries
  3. Tiers, milestones, multipliers
  4. Member portal
  5. Cycle closes
    👤 Settlement released only after a person reviews it

Bonus and loyalty programs motivate people, but run on spreadsheets they create disputes, late payouts and endless "where's my bonus?" emails. In our rewards systems, activity data flows in automatically every night, earnings land in a proper ledger, and your rules for tiers, milestones, multipliers and cycles are calculated the same way for everyone. Members log into a branded portal to see their balance, progress to the next tier and history, with sign-in checked against your customer records. Portal questions become tickets assigned to the right person. Settlements are never fully automatic: your team reviews and releases them, and every run is recorded. Every rule is tested in a separate rehearsal environment before it touches real money.

Referral programs that pay out correctly

  1. Referral claim
  2. Already claimed?
  3. Referrer matched & approved?
    👤 Unmatched: review queue
  4. Reward accrues by your rules
  5. Posted to the ledger

Referrals are your cheapest customers, but tracking who referred whom, when a reward is earned and what it's worth gets messy fast. Our referral systems capture every claim from a form, link or code, check it against your records and prevent duplicates automatically. Internal members and outside referrers are both supported, and outside codes only count when they belong to an approved referrer. Program rules (eligibility windows, reward amounts, cohorts and limited-time referral campaigns) live in a simple table you control, not in code. Rewards accrue when the conditions are met, unmatched claims go to a review queue, and approved rewards post to the same ledger as the rest of your incentives.

10

Finance & back-office automation

Remittances, invoices and deductions arrive in different formats from every customer, so reconciling them means hours of spreadsheet work, missed over-charges and slow dispute recovery.

Useful for: Distributors & wholesale · Importers & CPG brands · E-commerce · Logistics · Professional services · Multi-location businesses

How the work moves
  1. 1

    Documents and data are captured from email, PDFs, customer files and accounting records, with extracted values validated before use.

  2. 2

    Rules match payments, invoices, credits and deductions, handling differences in detail, tax treatment and program rates without double counting.

  3. 3

    Mismatches go to an exception queue with supporting details for your team to approve, dispute or resolve.

  4. 4

    Reconciled data refreshes reports and dashboards for margin, profitability, inventory and outstanding recoveries.

  5. 5

    Margins are calculated with landed cost, exchange rates and freight, and inventory alerts flag replenishment needs and slow-moving or expiring stock.

What this can include
  • Remittance, invoice & deduction reconciliation
  • Document extraction with validation and exception queues
  • Landed-cost margin & inventory alert reporting
  • Finance data checks across accounting records

Typical tools: Accounting data · QuickBooks / Xero · Excel & SharePoint · Power BI · Power Automate · AI document extraction · SQL & APIs

11

HR & staff onboarding

Onboarding paperwork, credential checks and license renewals are chased by email and spreadsheet, so people start late and expiries get missed.

Useful for: Staffing · Healthcare clinics · Multi-location businesses · Home services · Professional services

How the work moves
  1. 1

    A new hire receives one link to complete and upload everything required.

  2. 2

    Documents are checked for completeness and filed; missing items are requested automatically.

  3. 3

    Licenses and credentials are tracked with expiry alerts to the person and their manager.

  4. 4

    Schedules sync with calendars, and status is visible on one board.

What this can include
  • New-hire paperwork collection and checks
  • Credential and license-expiry tracking with alerts

Typical tools: Forms & e-signature · Airtable / any database · HR software · Calendars · Make.com / n8n / Zapier

12

Purchasing & vendor management

Purchase requests sit in inboxes waiting for approval, vendor setup is a pile of attachments, and invoices are checked against orders by hand.

Useful for: Distributors & wholesale · Multi-location businesses · Construction · Property management · Manufacturing

How the work moves
  1. 1

    A request creates a purchase order and routes it to the right approvers.

  2. 2

    Vendors onboard through one guided flow, with documents checked before setup.

  3. 3

    Orders, receipts and invoices are matched, with mismatches sent for review.

What this can include
  • Purchase orders with approval chains
  • Vendor onboarding and document checks

Typical tools: Accounting tools · Approval workflows · Forms & e-signature · Make.com / n8n / Zapier

13

E-commerce operations

Listings are updated channel by channel, returns are tracked in spreadsheets, and wholesale orders are retyped from emails.

Useful for: E-commerce · DTC brands · Distributors & wholesale · Marketplace sellers

How the work moves
  1. 1

    Listings, prices and inventory sync across store and marketplaces.

  2. 2

    Returns move through one tracked flow from request to restock.

  3. 3

    Wholesale orders are captured from email, spreadsheets or PDFs and validated before entry.

What this can include
  • Store and marketplace listing sync
  • Returns workflow and wholesale order intake

Typical tools: Shopify · Amazon / marketplaces · Inventory records · AI document extraction · Make.com / n8n / Zapier

14

Quotes, contracts, payments & invoicing

Invoices, reminders and payouts are prepared one by one, and finance spends days reconciling what was owed against what was paid.

Useful for: Agencies · Professional services · Marketplaces · SaaS & partner programs · Staffing

How the work moves
  1. 1

    Amounts owed are calculated from your ledger or records.

  2. 2

    Invoices, reminders and payment runs are prepared on schedule.

  3. 3

    Finance approves before anything is released, and everything reconciles back to the ledger.

What this can include
  • Settlements for reward and referral balances (inside the rewards engine)
  • Invoicing, reminders and payment runs
  • Quote-to-invoice with e-signature routing and renewal reminders

Typical tools: Stripe · PayPal · QuickBooks / Xero · DocuSign / PandaDoc · Bank & payment APIs

15

AI content, campaigns & websites

Every campaign, newsletter and page is assembled by hand, checked by hand and still goes out with mistakes.

Useful for: E-commerce & DTC · Agencies · Real estate · SaaS · Education

How the work moves
  1. 1

    The builder pulls the audience and content from your CRM and data.

  2. 2

    It assembles the campaign and validates it against your checklist.

  3. 3

    It drafts it in the CRM and stops: nothing is sent until a person approves.

What this can include
  • AI campaign & newsletter builder
  • AI-built websites

Typical tools: HubSpot · AI models · AI development tools · Your data & APIs · Validation checks

16

Portals

Customers and partners email to ask for status, balances and documents, and keeping their details current means chasing them.

Useful for: SaaS & partner programs · Professional services · Membership businesses · Franchises · Financial services

How the work moves
  1. 1

    People sign in with their CRM identity, with no new passwords to manage.

  2. 2

    They see status, balances and documents, and update their own details.

  3. 3

    Authorized staff can preview the member experience when answering support questions.

What this can include
  • Multilingual member portal with CRM sign-in and a staff support view

Typical tools: Custom web portal · HubSpot sign-in · Airtable / Supabase · Multilingual

17

Alerts, daily briefs & AI reports

Nobody looks at the dashboard until something has already gone wrong, and important moments depend on someone noticing.

Useful for: Multi-location businesses · E-commerce · Agencies · SaaS · Operations teams

How the work moves
  1. 1

    The KPIs that matter are calculated overnight from your systems.

  2. 2

    A short briefing is posted to your team channel at a set time each morning.

  3. 3

    Event alerts notify the right owner when a threshold is crossed.

What this can include
  • Daily business performance summary in your team chat
  • Scheduled AI management reports & daily briefs
  • Event-triggered alerts & follow-ups

Typical tools: Slack · Telegram · Microsoft Teams · Make.com / n8n

How it works, in detail

Daily business pulse

  1. Scheduled early-morning run
  2. Collect key figures from each system
    ⏸ A source fails: brief held, owner alerted
  3. Compare with goals
  4. Green / yellow / red
  5. Brief posted to team chat

Start every morning knowing exactly how yesterday went, without logging into five tools. Automated briefs pull your key numbers from your CRM, sales, marketing and operations platforms overnight, compare each one with your goals, and deliver a short scorecard to your phone or team chat before the day starts. Green, yellow and red indicators show at a glance what's on track and what needs attention, and the brief can include highlights such as top performers, new sign-ups, open support tickets or anything trending. Test runs never post to the real channel, and if a data source fails the brief is held rather than sent with gaps.

Also available

More systems we build

The same approach: automate the routine, and keep people on the decisions. We shape each one around the workflow you want to improve.

Pilot available

Voice agents for calls & intake

AI voice agents for inbound calls, approved answers, customer intake and scheduling requests. Scope the CRM handoff and human escalation around your tools and call rules.

Good fit for: Service businesses, professional firms, customer-facing teams and departments

Typical tools: Voice AI · Phone systems · Calendars · CRM

Explore voice agents →

Document & invoice processing

Invoices, receipts, forms and contracts read automatically, checked against your records, coded and routed for approval, with exceptions flagged instead of keyed in by hand.

Good fit for: Finance teams, accounting firms, logistics, construction, property management

Typical tools: AI document extraction · QuickBooks / Xero · Approval workflows · Make.com / n8n

Interested? Start a project brief and tell us about the workflow.

Have a workflow like one of these?

Tell us what is similar, what is different, and which tools you use. We will map the approach around your business.