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AI solutions for real business operations

Explore how AI agents can coordinate business workflows, work across enterprise systems, and help teams move from fragmented tasks to completed outcomes.

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Featured Implementations

Reference Architectures for Enterprise Workflows

In-depth implementation overviews illustrating how AI agents connect across core business systems, incorporate deterministic validation, and enforce strict human approval gates.

Revenue OperationsReference Architecture

Revenue Operations Agent

Business Problem

Sales teams often manage prospect research, qualification, outreach, follow-up, and CRM updates across disconnected tools.

Solution Summary

A coordinated workflow combining prospect research, qualification, personalized engagement, and sales-system updates to manage the prospect-to-opportunity process.

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Key Architecture Capabilities

8 stages
  • Prospect research and contextual enrichment
  • Lead qualification and routing
  • Personalized outreach preparation
  • CRM integration and updates
  • Workflow orchestration and execution tracking
Deterministic validationAudit & oversight
Finance OperationsReference Architecture

Finance Operations Agent

Business Problem

Finance teams manually process invoices, validate information, match purchase orders, investigate discrepancies, and coordinate approvals across multiple systems.

Solution Summary

An AI-assisted invoice-processing workflow that combines document extraction, deterministic validation, exception handling, and controlled accounting-system updates.

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Key Architecture Capabilities

9 stages
  • Invoice ingestion and document extraction
  • Purchase-order matching
  • Duplicate and discrepancy detection
  • Exception routing and approval workflows
  • Accounting-system integration
Deterministic validationAudit & oversight
Employee OperationsReference Architecture

Enterprise Knowledge & Service Agent

Business Problem

Employees frequently need information and operational assistance from systems distributed across IT, HR, service desks, and internal knowledge repositories.

Solution Summary

An employee service workflow that retrieves approved knowledge, processes requests, initiates authorized actions, and escalates unresolved issues with the relevant context.

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Key Architecture Capabilities

8 stages
  • Enterprise knowledge retrieval
  • Request classification and contextual understanding
  • Ticket creation and updates
  • Authorized system actions
  • Escalation and resolution tracking
Deterministic validationAudit & oversight
Workflow Scenarios

Explore Specific Business Applications

Explore how agents operate across customer support, outbound qualification, dormant accounts, and lead capture.

Revenue
VoiceCalendarCRM

Missed calls converted to booked appointments — without a receptionist

HVAC company, ~15 field technicians, heavy inbound volume in peak season

During summer peak season, the office team couldn't keep up with inbound call volume. Calls went to voicemail, follow-up was inconsistent, and estimates suggested a meaningful share of missed calls were walking away to competitors before anyone called back.

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Revenue
CRMMessaging

Referral leads qualified and routed before staff involvement

Medical aesthetics practice, mid-size, referral-heavy intake model

The practice received referrals from multiple sources — doctor partners, existing clients, online — but intake was handled manually by the front desk team. Leads often sat uncontacted for 24–48 hours, and the qualification call took 10–15 minutes of staff time per lead regardless of fit.

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Revenue
VoiceCRM

After-hours calls captured and intake started before morning

Personal injury law firm, regional, significant after-hours inbound volume

Prospective clients often call during evenings and weekends — frequently in distress and looking for immediate reassurance. The firm had no after-hours coverage. Calls went to a generic voicemail, follow-up happened the next business day, and an unknown proportion of callers had already retained another firm by then.

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Revenue
EmailCRM

Personalised outbound at volume — without a research team

B2B SaaS company, 30-person team, no dedicated SDR function

The sales team was responsible for their own prospecting. In practice, this meant sporadic outreach with limited personalisation — they didn't have time to research properly and still hit meetings. The pipeline was thin and inconsistent.

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Revenue
Email

Inbound reply triage that routes the right leads at the right moment

Staffing agency, 50-person team, running ongoing outbound to client companies

The team was sending outreach at scale but managing replies manually. A large share of replies — out-of-office messages, "not the right person" redirects, timing-based deferrals — were consuming as much time as genuinely interested responses, making it hard for the team to prioritise.

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Revenue
EmailCRM

Reactivating dormant accounts with context-aware outreach

Software reseller, mid-market focus, significant base of lapsed client accounts

The company had a substantial CRM of accounts that had bought once but not renewed or expanded. The accounts weren't cold — they had an existing relationship — but no one had the capacity to work through the list systematically with personalised outreach.

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Customer Operations
EmailKnowledge

Support inbox handled in the team's voice — drafts ready before staff arrive

E-commerce brand, 8-person operations team, high support volume relative to team size

The support team spent a significant portion of every morning working through an overnight inbox backlog — mostly order status questions, return requests, and shipping queries that required checking two or three internal systems and writing a consistent response. The work was necessary but not where the team added value.

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Customer Operations
Knowledge

Website chat that answers from the actual documentation — not generic AI

SaaS company, product-led growth, high volume of pre-sales and onboarding questions via website chat

The chat widget on the website was either ignored (no one available) or handled by a sales or support rep who was frequently pulled away from other work. Pre-sales questions were being lost, and onboarding questions were creating unnecessary support load when the answers existed in their documentation.

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Customer Operations
KnowledgeHuman-in-Loop

Tier-1 queries resolved automatically — complex cases escalated with context

Managed services provider, B2B, structured support tiers with SLA requirements

Tier-1 support was a bottleneck. A large share of inbound tickets — password resets, connectivity checks, standard configurations — were going through the same queue and triage process as genuinely complex issues. SLA timers started running from first ticket receipt regardless of complexity, which put pressure on the team for tickets that shouldn't require their time at all.

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Engagement
CRMMessaging

Returning customers receive recommendations based on what they've actually bought

Specialty home goods retailer, online-first, strong repeat customer base

Repeat customers were receiving the same email campaigns as first-time buyers — same promotions, same product spotlights, same generic copy. The marketing team knew this was wrong but lacked the setup to run truly individual recommendations at any real scale.

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Engagement
CRMEmail

Renewals reached proactively — with context from the prior year's service

Insurance agency, mid-size, large book of personal and commercial lines

Renewal season required a significant portion of the account management team's time — contacting every client ahead of renewal to review coverage, flag changes, and retain the relationship. The volume was high enough that some clients were getting a generic renewal notice email rather than a personal conversation, which was increasing non-renewal rates at the margins.

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Engagement
CRMEmail

Lapsed customers re-engaged with outreach that acknowledges the gap

Subscription wellness service, direct-to-consumer, ongoing churn management challenge

The company had a substantial base of churned subscribers — people who had cancelled or let their subscription lapse but hadn't explicitly said they'd never return. Standard win-back campaigns were generic discount emails that converted poorly and trained customers to wait for the discount.

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