
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.
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.
Reviews submitted forms, verifies documents, updates your CRM, and sends tailored onboarding instructions — saving hours of manual coordination across sales, ops, and customer success.
Qualifies prospects using your knowledge base, answers product questions, and schedules meetings — syncing with HubSpot, Pipedrive, or Salesforce without a data handoff.
Uses semantic search and memory to retrieve the right answer from your docs, wikis, and Drive. Employees stop pinging experts; experts stop repeating themselves.
Drafts responses to RFPs by pulling from past-winning proposals, product documentation, and pricing. Win rate climbs while bid prep time drops.
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.
Assemble weekly or daily briefings across departments — pulling from CRM, analytics, finance, and support — so leaders walk into Monday with the full picture.
not months to deploy
From describing the workflow to running it in production.
lines of code required
Plain-English workflows, no developer bottleneck.
integrations available
Agents work in the tools you already pay for.
private to your business
Custom agents, custom data — never used to train public models.
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.
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.
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.

Write in plain English what you want the agent to do, in which tools, with which rules. Arahi turns that into a workflow.

Plug in the systems, docs, and data the agent needs. 1,500+ integrations mean no custom plumbing.

Run the agent in draft mode, review outputs, set approval gates, and ship. Most custom agents launch in days, not quarters.
Business users refine the agent as needs change — no redeploys, no sprint planning.
Web search, document extraction, API calls, scraping, code execution, and more — so agents take action, not just chat.
Run agents across thousands of records grounded in your knowledge base — perfect for audits, analyses, and mass personalization.
Agents remember prior interactions, preferences, and outcomes — they learn your business as they work.
Slack, Gmail, HubSpot, Salesforce, Notion, GitHub, Jira, Asana, Linear — plus 1,500+ more.
Agents incorporate feedback and outcomes to get sharper with every task they run.
SOC 2-aligned, row-level permissions, SSO, and audit logs. Your data stays yours.
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.
RFP turnaround drops from a week to a day, and win rates climb as responses land on time.
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.
Everyone starts the week aligned, without a BI team assembling decks at 2am Sunday.
Why teams pick Arahi over a multi-month consulting engagement.
| Arahi AI | AI Consulting | |
|---|---|---|
| Time to Deploy | Hours to days | 3–12 months |
| Cost | From $49/month | $50,000–500,000+ |
| Modifications | Instant, self-serve | New SOW & billing |
| Technical Requirement | None | Data science team |
| Integrations | 1,500+ pre-built | Custom-built each time |
| Maintenance | Automatic | Ongoing retainer |
| Scalability | Add agents instantly | New project scoping |

Achieve more with less. Build the automation your business actually needs — no developers required.
Arahi AI connects to 1,500+ apps including CRMs, marketing tools, support platforms, and more — so your custom ai solutions workflows plug into the tools your team already uses.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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