Custom AI Solutions
Custom AI solutions: bespoke AI agents built for your workflows, your data, and your stack — no developers required.
Custom AI Solutions — AI Agents Built for Your Specific Workflows
Custom AI solutions for the workflows only your business runs. Describe the outcome in plain English — Arahi builds bespoke AI agents that work in your tools, learn from your data, and respect your policies. No AI team or developers required.
What custom AI solutions cover
- Client Onboarding Agent
- Reviews submitted forms, verifies documents, updates your CRM, and sends tailored onboarding instructions — saving hours of manual coordination across sales, ops, and customer success.
- AI Sales Assistant for Lead Nurturing
- Qualifies prospects using your knowledge base, answers product questions, and schedules meetings — syncing with HubSpot, Pipedrive, or Salesforce without a data handoff.
- Internal Knowledge Search Agent
- Uses semantic search and memory to retrieve the right answer from your docs, wikis, and Drive. Employees stop pinging experts; experts stop repeating themselves.
- RFP & Proposal Generation
- Drafts responses to RFPs by pulling from past-winning proposals, product documentation, and pricing. Win rate climbs while bid prep time drops.
- Partner & Vendor Management
- Agents handle inbound partner inquiries, run due diligence steps, track contract renewals, and flag SLA breaches — keeping your partnerships healthy without a dedicated ops team.
- Reporting & Executive Briefings
- Assemble weekly or daily briefings across departments — pulling from CRM, analytics, finance, and support — so leaders walk into Monday with the full picture.
What teams ship with Arahi
- Days
- From describing the workflow to running it in production.
- 0
- Plain-English workflows, no developer bottleneck.
- 1,500+
- Agents work in the tools you already pay for.
- 100%
- Custom agents, custom data — never used to train public models.
Who builds custom agents with Arahi
- COO / Head of Operations
- You have 50 small workflows begging for automation, but no single vendor covers them and engineering won't build them.
- Ops owns the agent platform directly — build, iterate, and retire workflows without filing an engineering ticket.
- Head of Technology / RevOps
- Every vertical SaaS has its own AI add-on, and none of them fit the way your team actually works.
- One agent platform that plugs into every tool, so automation matches your process instead of vice versa.
- Founder / GM
- You need the leverage of AI but can't justify hiring an AI/ML team or a systems integrator.
- Business users build agents directly. You get capability without headcount.
How it Works?
- Describe The Outcome
Write in plain English what you want the agent to do, in which tools, with which rules. Arahi turns that into a workflow.
- Connect Your Tools & Knowledge
Plug in the systems, docs, and data the agent needs. 1,500+ integrations mean no custom plumbing.
- Test, Approve & Go Live
Run the agent in draft mode, review outputs, set approval gates, and ship. Most custom agents launch in days, not quarters.
- Iterate With Your Team
Business users refine the agent as needs change — no redeploys, no sprint planning.
Build and Deploy AI Agents Quickly
- Built-in AI tools
- Web search, document extraction, API calls, scraping, code execution, and more — so agents take action, not just chat.
- Bulk run with knowledge
- Run agents across thousands of records grounded in your knowledge base — perfect for audits, analyses, and mass personalization.
- Memory across workflows
- Agents remember prior interactions, preferences, and outcomes — they learn your business as they work.
- Native integrations to your stack
- Slack, Gmail, HubSpot, Salesforce, Notion, GitHub, Jira, Asana, Linear — plus 1,500+ more.
- Self-learning agents
- Agents incorporate feedback and outcomes to get sharper with every task they run.
- Enterprise-grade privacy
- SOC 2-aligned, row-level permissions, SSO, and audit logs. Your data stays yours.
Examples of custom agents teams have built
- RFP email → first-draft response in an hour
Trigger: A prospect emails an RFP or questionnaire to sales.
- Agent extracts every question and maps them to past responses.
- Drafts answers grounded in product docs and won-deal language.
- Flags questions that need SME input and routes them to the right teammate.
- Assembles the final draft in your RFP template for attorney and exec review.
Outcome: RFP turnaround drops from a week to a day, and win rates climb as responses land on time.
- Monday briefing → delivered to every exec by 8am
Trigger: A schedule runs every Monday at 7:30am (or any cadence you set).
- Agent pulls weekly metrics from CRM, analytics, finance, and support.
- Compares against targets and last week, highlights deltas.
- Generates a narrative briefing in your house style.
- Emails or Slacks the summary to each exec with their department's data.
Outcome: Everyone starts the week aligned, without a BI team assembling decks at 2am Sunday.
Custom AI Agents vs. Traditional AI Consulting
Why teams pick Arahi over a multi-month consulting engagement.
| Feature | AI Consulting | Arahi AI |
|---|---|---|
| Time to Deploy | 3–12 months | Hours to days |
| Cost | $50,000–500,000+ | From $49/month |
| Modifications | New SOW & billing | Instant, self-serve |
| Technical Requirement | Data science team | None |
| Integrations | Custom-built each time | 1,500+ pre-built |
| Maintenance | Ongoing retainer | Automatic |
| Scalability | New project scoping | Add agents instantly |
Start building your AI Agent Now!
Achieve more with less. Build the automation your business actually needs — no developers required.
Frequently asked questions
- What is a custom AI solution?
- A custom AI solution is a bespoke artificial intelligence implementation designed for a specific business's workflows, data, and compliance requirements — as opposed to off-the-shelf AI tools used as-is. Custom solutions typically involve scoping the use case, integrating with proprietary systems, training or fine-tuning on company-specific data, and deploying with enterprise-grade security. Arahi delivers custom AI solutions through a no-code platform plus a solutions team for bespoke engagements — industry-specific workflows, proprietary integrations, and compliance setups that off-the-shelf tools can't cover.
- What can I build as a custom AI agent on Arahi?
- Almost any business workflow that a person currently does by moving information between tools: client onboarding, RFP responses, internal knowledge search, partner management, executive reporting, QA, research, data enrichment, content operations, and much more. If you can describe it in plain English and it lives in your tools, an agent can run it.
- Do I need a developer or AI team to build custom agents?
- No. Arahi's visual builder lets business users describe the workflow in plain English and connect it to their tools. Most customers build their first custom agent themselves in under a day, without filing a ticket with engineering.
- How long does it take to deploy a custom agent?
- Most teams go from idea to running in production in days, not months. The first draft of an agent is usually live within hours; the remaining time is approval workflows, edge-case testing, and rolling it out to the team.
- Can custom agents work with my internal tools and APIs?
- Yes. Arahi has 1,500+ native integrations and can also connect to any tool with an API — including internal systems — without custom middleware. Agents authenticate, read, write, and log activity in whatever systems your workflow requires.
- How does Arahi protect proprietary data in custom agents?
- Customer data is never used to train public models. Arahi is SOC 2-aligned with SSO, row-level permissions, and full audit logs. Agents only access the data and tools you explicitly grant, and everything stays within your controlled environment.
- What if my workflow changes after I build the agent?
- Business users can update agents directly — change prompts, add steps, re-route approvals, add new integrations — without deploys or sprint planning. Agents are meant to evolve with your process, not freeze in place.
- How does pricing work for custom agents?
- Arahi charges based on usage and capabilities rather than per seat, so you can build as many custom agents as you need. Talk to us for a scoped quote — most teams are surprised how affordable it is compared to hiring or integrator services.
- How much do custom AI solutions cost compared to traditional AI consulting?
- Arahi plans start at $49/month — a fraction of what custom AI consulting costs ($50,000–$500,000+ for bespoke builds). You get the flexibility of a custom solution at the price of a SaaS tool, and you can modify your agents anytime without additional cost or new statements of work.
- What industries benefit most from custom AI solutions?
- Every industry with repetitive, multi-step processes benefits. We see the strongest adoption in SaaS, e-commerce, real estate, healthcare administration, financial services, legal, insurance, and professional services agencies — but custom agents work anywhere knowledge moves between tools.