Service · Systems Integration

Connect custom AI directly into your stack.

Your CRM, ERP, and internal databases connected with bi-directional sync, sub-200ms latency, and zero production downtime. We handle schema validation, API rate limits, and secure OAuth plumbing.

SalesforceSalesforce
SlackSlack
GitHubGitHub
WorkspaceWorkspace
Microsoft 365Microsoft 365
ConfluenceConfluence
JiraJira
Custom
Aviar

Standard & Custom Connectors

Enterprise connectors built for zero downtime.

Every connector includes granular RBAC scopes, automated webhook retries, and strict schema validation out of the box.

Communication & Chat

Slack

Microsoft 365

Google Workspace

CRM & Customer Pipeline

Salesforce

HubSpot

Outreach

Engineering & Codebases

GitHub

Jira

Linear

Knowledge & Internal Docs

Confluence

Notion

SharePoint

Finance, ERP & Billing

QuickBooks

NetSuite

Concur

…plus custom REST APIs, SQL databases, and internal webhooks. If your team works in it, we can securely pipe it into your AI workflows.

Proprietary & Homegrown Systems

Expose legacy databases as clean AI tools.

Most enterprises run mission-critical internal software that off-the-shelf SaaS plugins don't touch: bespoke underwriting calculators, custom inventory databases, or homegrown billing engines. That is where your highest-value automation lives.

Our engineers write strict Pydantic schemas, resilient API wrappers, and deterministic validation rules around your proprietary endpoints. Your AI assistants query them safely, respecting exact business logic and role-based permissions.

tools/quote_engine.py

@tool(
  name="get_quote",
  scope="read",
  audit=True,
)
def get_quote(sku: str, region: str):
  """Pricing from internal quote engine."""
  user = current_user()
  return pricing_db.fetch(
    sku, region, scope=user.scope
  )

Production · 14,800+ queries/day · Zero data leakage

Cross-System Intelligence

Live answers backed by strict enterprise audit trails.

Instead of jumping across seven browser tabs and reconciling out-of-date spreadsheets, your leads ask complex operational questions and receive deterministic facts directly from source systems.

via Salesforce

Question

"Which key enterprise renewals are at risk before quarter close?"

Answer

4 accounts ($840k ARR) have open P1 tickets with no executive touchpoint in 30+ days.

Live cross-correlation · Salesforce + Jira

via GitHub

Question

"What is currently blocking today's v2.4 production deployment?"

Answer

PR #3914 is waiting on Platform Team database migration sign-off; all CI tests passing.

Live scan · GitHub PRs + GitHub Actions CI

via Slack

Question

"Are there unresolved customer escalations on the Northwind contract?"

Answer

3 urgent tickets flagged in #cs-northwind this week regarding SSO latency. On-call engineer assigned.

Live monitor · Zendesk tickets + Slack channels

Engineering Methodology

Our four-stage systems integration roadmap.

01

Discovery & Audit

We map data schemas, access controls, API rate limits, and security constraints with your engineering leads.

02

Secure Wiring

We build and test connectors with OAuth2, encrypted secrets management, and custom schema validation.

03

Staging & Stress Test

We run end-to-end load tests and real user workflows in isolated staging environments before touching production.

04

Production Launch

Phased rollout, live observability, automated error telemetry, and full runbook handoff to your IT team.

Ready to wire AI into your existing tools?

Thirty minutes. We will map your core tools on the call, assess API capabilities, and pinpoint your highest-ROI automation opportunities.