We connect AI agents directly to your CRM, help desk, database, and internal APIs through proper tool-calling and two-way sync, so an agent can actually check, update, and act on real data instead of just talking about it.
A lot of AI agents can hold a conversation but stop there — they can't actually check an order, update a ticket, or sync a lead, so someone still has to do that part by hand.
CRM, help desk, and internal tools that don't talk to each other, or to your agent.
Someone copying the same information between systems that should already be in sync.
Pre-built connectors that only push data one direction and break silently when a field changes.
It's the layer that lets an AI agent actually do something in your business — call your CRM's API to update a lead, create a ticket in your help desk, or pull a live record from your database — built with proper auth, validation, and error handling so it's reliable, not fragile.
Everything needed to connect an AI agent to the systems your business already runs on.
Direct integrations into HubSpot, Salesforce, GoHighLevel, and similar CRMs, so agents read and write real records.
Agents that create, update, and close tickets in Zendesk, Intercom, or your existing helpdesk, in sync with real conversations.
Agents connected directly to your internal databases and APIs, not limited to whatever a pre-built connector supports.
Agents triggered by real events in your systems, not just user messages, so automation runs the moment something changes.
Changes made through the agent reflect back into your systems immediately, so records never fall out of sync.
For systems without a clean API, we build the middleware layer that makes a proper integration possible.
We start with a systems audit to understand what each API actually supports, then design the agent's tool-calling layer around real endpoints — with scoped auth, input validation, and retry logic so a failed call doesn't silently corrupt a record. Where a system doesn't expose a clean API, we build the middleware to make the integration possible, and we test everything against real data before it touches production.
Real integration work means proper API design and error handling, not a fragile webhook glued together.
Structured tool definitions that let an agent decide when and how to call your systems, with predictable inputs and outputs.
Direct integration against your existing REST or GraphQL APIs, built to the actual contract your systems expose.
Agents and workflows triggered by real system events, so data updates happen the moment something changes upstream.
OAuth, API keys, and credentials handled through proper secrets management, scoped to only what the agent needs.
Input validation and retry logic so a failed call doesn't silently corrupt data or leave records half-updated.
A clear, six-step process from audit to ongoing monitoring.
We review the systems involved, their APIs, and where data currently breaks down or requires manual re-entry.
The data flow, auth approach, and error handling mapped out and approved before development starts.
The integration built against your real APIs, version-controlled, with validation built in.
Tested against real records in a staging environment before anything touches production data.
Rolled out with monitoring in place so failed syncs or API errors get flagged immediately.
Ongoing monitoring and adjustment as your systems or their APIs change.
Agents synced to your product database and support tools so nothing needs manual re-entry.
CRM and scheduling systems kept in sync automatically as agents handle intake and follow-up.
Order, inventory, and customer service systems connected so agents work from live, accurate data.
Scheduling and intake systems integrated with compliance-aware handling of patient data.
Lead and listing data kept in sync across your CRM as agents handle inquiries and follow-up.
Data moves between systems automatically instead of being copied and pasted by hand.
Validation and retry logic catch problems before they corrupt a record.
Records update the moment something changes, not on a delayed batch sync.
Your CRM, help desk, and internal tools stay aligned instead of drifting apart over time.
No client logos or star ratings here — just the commitments every integration build is held to.
You work directly with the engineer building your integration — no account managers relaying messages back and forth.
The quote we give you upfront is what you pay. No surprise invoices once development starts.
Softosmith is led by Amin Ali, Founder & Lead AI Engineer with 8+ years building automation pipelines, so your integrations are built on solid API and data-handling practices, not shortcuts.
The integration code and data flow logic are yours. Nothing rented or locked behind a proprietary platform after handover.
You know exactly where your build stands at every stage, from systems audit through deployment — no radio silence.
A post-launch support window is built into every engagement, so an API change on their end doesn't become your problem alone.
Fixed-scope pricing to start — final quotes depend on the number of systems and complexity of their APIs. Connecting a large stack of internal tools? Contact us for an Enterprise quote.
$2,000 starting
One agent connected to one core system, like your CRM or help desk.
$7,000 starting
An agent connected across multiple systems with two-way sync.
Straight answers to what clients usually ask before starting a build.
HubSpot, Salesforce, GoHighLevel, Zendesk, Intercom, and most tools that expose a REST or GraphQL API. If your system has an API, we can typically build against it.
Agent access to each system is scoped to only what it needs, credentials are managed through proper secrets management, and we can design around your existing compliance requirements.
You do. The integration code and data flow logic are yours — nothing is locked behind a proprietary platform or an ongoing license with us.
No-code tools work for simple, linear triggers. A custom integration handles conditional logic, two-way sync, error handling, and agent decision-making that a no-code flow chart usually can't support cleanly.
Yes. We build two-way integrations so the agent can create, update, and close records, not just look them up.
We've built integrations against undocumented or poorly documented APIs before. It usually means more discovery time upfront, which we scope honestly before quoting.
A single system integration typically takes 2 to 3 weeks. A multi-system integration with two-way sync usually runs 5 to 8 weeks.
Yes. Every engagement includes a post-launch support window, since an API change on the other system's end can affect the integration after go-live.
See the full range of AI agent services we build, from integration to conversational to voice.
See the full engineering process behind every agent we integrate into your systems.
Pair a system integration with a conversational agent that acts on the data directly.
Tell us which systems are involved and we'll scope an integration around them.
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