Shilo vs Adept
Detailed side-by-side comparison to help you choose the right tool
Shilo
Business AI Solutions
AI assistant built for real estate teams that listens, coaches, and guides agents in real time to help them close deals with confidence.
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CustomAdept
π΄DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutionsβoffering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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Shilo - Pros & Cons
Pros
- βPurpose-built for real estate teams rather than generic sales teams, with website messaging focused on agents, team leaders, appointments, contracts, CRMs, transaction management, and lead sources.
- βCombines real-time call analysis with coaching feedback, so the product is designed for in-the-moment improvement rather than only after-the-fact reporting.
- βIncludes training workflows such as role play based on previous calls, prompts, and feedback around objection handling, question frequency, and talk-to-listen ratio.
- βCan automatically enrich CRM records after calls with AI-powered insights and actionable next steps, reducing reliance on agents manually writing complete notes.
- βDesigned to fit into an existing real estate workflow instead of replacing the team's CRM, transaction management platform, or lead sources.
- βPublic case study and testimonials cite operational outcomes including increased outbound call volume, improved conversation quality, reduced manual call review, and higher conversion rates for featured customers.
Cons
- βPricing is not published on the website; teams must book a demo to understand cost, packaging, contract terms, and minimum seat requirements.
- βThe product appears optimized for real estate teams with meaningful call volume, so solo agents or very small teams may not get the same value from coaching analytics and team-level reporting.
- βShilo depends on integration with existing workflows such as CRM, transaction management, and lead sources, which means setup quality and available integrations may materially affect results.
- βThe website highlights customer outcomes but does not provide a self-serve trial, detailed implementation timeline, or public technical documentation for buyers to evaluate before contacting sales.
- βTeams that want an all-in-one real estate CRM, website, lead generation system, or marketing automation platform will still need other tools because Shilo is positioned as an enhancement layer, not a full stack replacement.
Adept - Pros & Cons
Pros
- βWorks with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- βNatural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- βAdvanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- βBacked by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- βACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- βEnterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- βPartnership-only access model with no self-service signup or public availabilityβrequires direct enterprise sales engagement and significant upfront investment
- βNo transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- βRequires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- βFollowing 2024 strategic shift, key talent moved to Amazonβraising questions about long-term product roadmap continuity for partners
- βVisual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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