1. aiRA by Capillary: best for conversational analytics that turns insights into campaigns
aiRA is Capillary Technologies' agentic AI co-pilot. It is built into the Capillary loyalty and customer engagement platform and trained on each brand's own context with its customers, programs, rewards and history. Traditional BI tools give you a dashboard and leave the rest to you. aiRA answers questions about your customers in plain English and then carries that answer forward into a segment, a reward strategy and a live campaign, all within one conversation.
Why aiRA is a strong Power BI alternative
The simplest way to see the difference is to compare the two workflows side by side:
- The Power BI workflow: An analyst builds a dashboard. A marketer spots a trend. The marketer files a request for a segment. The data team writes SQL and exports a list. The CRM team rebuilds the audience in another tool. The loyalty team designs an offer. The campaign team sets up messaging for each channel and market. Finally, someone builds a separate report to measure results.
- The aiRA workflow: A marketer asks a question, reviews what aiRA finds, approves a recommended segment and reward, and launches the campaign. Measurement is set up from the start.
- Capillary describes the impact this way: Without aiRA, a typical enterprise campaign workflow involves about five phases, three or more teams, and more than 26 days. With aiRA, the same workflow takes minutes. Power BI stops at the dashboard. aiRA covers strategy, segmentation, rewards, launch and measurement in one place.
Key features of aiRA
- AI-powered conversational analytics: Ask questions such as "Which members in the UAE haven't purchased in 90 days but have high lifetime value?" in plain English. You don't need SQL or DAX, and you don't wait in an analyst queue. aiRA returns the answer with context, so business users can explore follow-up questions on their own.
- Natural-language segmentation: Describe the audience you want, and aiRA builds it. Segment requests that used to take days of analyst work are handled in the conversation. Capillary cites more than 62 analyst hours saved per month through this capability alone.
- Conversational campaign creation: From a single brief, aiRA sets up the audience, rewards, messaging and multi-channel configuration. Marketers review and refine the plan instead of assembling it by hand across several tools.
- Intelligent reward optimization: aiRA uses machine learning to recommend rewards instead of defaulting to flat discounts that erode margin. It predicts ROI by market and explains the reasoning behind each recommendation, so teams understand why a reward is suggested before they approve it.
- Multi-country, multi-language execution: Global brands can create localized messaging for each region and segment in a single workflow. There's no need to rebuild the same campaign for every market.
- Human-in-the-loop at every step: aiRA recommends and prepares, but nothing goes live without explicit human approval. Marketers stay in control of brand, budget and customer experience.
How aiRA by Capillary works
aiRA follows a structured five-stage flow that mirrors how an experienced strategist would approach the problem:
- Customer analysis: aiRA reads your customer and program data to understand who your members are and how they behave.
- Behavioral trends: It identifies patterns such as lapsing cohorts, rising categories, redemption habits and regional differences.
- Segmentation and projections: It builds target segments and projects the likely response and impact before you commit.
- Campaign strategy: It recommends rewards, messaging and channels suited to each segment and market.
- Impact and measurement: KPIs are defined before launch and tracked in real time, so every campaign is measurable from day one instead of being analyzed after the fact.
Who aiRA is built for
- Marketing managers can launch multi-zone, multi-language campaigns in minutes instead of days. They no longer depend on analysts for every audience or on engineers for every configuration change.
- CMOs gain margin protection through optimized rewards and clear ROI visibility by market. Budget discussions become easier when each campaign has projected and measured returns attached.
- Heads of analytics see far fewer ad hoc segment requests. That frees their teams to focus on strategic modeling, data quality and advanced analysis rather than repetitive list pulls.
Enterprise security and governance
Putting customer data near a large language model requires strict controls, and aiRA is designed with them in place:
- PII masking: Personally identifiable information is masked before anything reaches the LLM.
- Brand data isolation: Cross-brand data analysis is prohibited, so each brand's data stays separate.
- Full auditability: Every AI interaction is logged, and the platform includes drift monitoring and defined incident SLAs.
- Compliance: aiRA is ISO 27001 aligned, PCI DSS compliant, and compliant with GDPR, CCPA and PDPA.
Real results
- A global fashion retailer with more than 400 stores created nine personalized push messages in minutes. The same task previously required multiple teams and days of coordination.
- A conglomerate operating in more than 25 countries removed analyst tickets for segment building entirely, giving business teams direct access to the audiences they need.
Implementation
aiRA is rolled out through a structured two-to-four-week pilot with four phases namely, requirements gathering, training and testing, brand-specific testing, and go-live. A dedicated customer success manager supports the team throughout, so value appears in weeks rather than after a long BI rollout.
Pros
- No-code, plain-English analytics that business users can use from day one
- Goes beyond insight to segmentation, rewards, launch and measurement
- ML-driven reward optimization that protects margin and explains its recommendations
- Enterprise-grade governance, including PII masking and full audit logs
- Backed by Capillary Technologies' recognition as a Leader in The Forrester Wave™: Loyalty Platforms, Q4 2025
Cons
- Built specifically for marketing, customer engagement and loyalty use cases, so it is not a general-purpose BI replacement for finance or operations reporting
- Works best within the Capillary Technologies ecosystem
Pricing: Custom pricing. Request a demo for a quote.
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