AI Integration & Automation
We integrate AI into your existing workflows to save time and improve consistency—using provider APIs and your API keys. Practical systems that connect to your tools and data with monitoring and human oversight.
AI Integration & Automation
Intelligent solutions for business workflows
What we build with AI
We focus on integrations and automations that ship to production: secure, observable, and aligned to real business workflows.
AI Workflow Integration
Add AI where it drives ROI: triage, routing, drafting, summarization, and decision support inside the tools your team already uses.
- Connect AI to Slack/Teams, email, and ticketing systems
- Automate intake → classification → routing with approvals
- Generate drafts (responses, notes, summaries) for human review
- Reduce context switching with embedded AI actions
LLM & AI API Integration
Implement reliable LLM features using provider APIs (you bring the API keys), with cost controls and fallbacks.
- Provider selection and model routing strategy
- Secure secrets management and least-privilege access
- Rate limiting, caching, and spend guardrails
- Error handling, retries, and safe fallbacks
AI Assistants & Chat Interfaces
Build assistants that help customers or internal teams find answers and take actions—grounded in your policies and knowledge.
- Internal knowledge assistants (SOPs, policies, runbooks)
- Customer support chat experiences with escalation paths
- Agent-assist tools (suggested replies, summaries, next steps)
- Human-in-the-loop review flows for sensitive actions
Document & Data Automation
Turn unstructured content into structured outputs that power automated workflows: extraction, classification, and enrichment.
- Invoice, form, and contract data extraction
- Email parsing and automated follow-ups
- Ticket summarization and tagging
- Structured outputs for downstream systems (CRM/ERP)
Data Connectivity & Retrieval
Make AI useful by connecting it to the right data with the right permissions—so outputs are grounded and auditable.
- Integrations to internal apps, databases, and file stores
- Permission-aware access patterns
- Search and retrieval to reduce hallucinations
- Audit trails for requests and outputs
Safety, Monitoring & Governance
Productionize AI safely with guardrails, evaluations, and operational monitoring so it stays reliable over time.
- Prompt injection and data leakage mitigations
- PII handling, redaction, and policy enforcement
- Evaluation harnesses and regression testing
- Observability: logs, metrics, and alerting
Common workflow use cases
If you have repetitive, text-heavy work across tools, AI can help—especially with safe approvals and clear auditing.
Support & Ticketing
- • Auto-triage, tagging, and routing
- • Suggested replies + internal summaries
- • Escalation rules and approvals
Documents & Email
- • Extraction to structured fields
- • Drafts and follow-ups for review
- • Policy checks before sending
CRM & Operations
- • Auto-update records from calls/emails
- • Task generation and reminders
- • Consistent notes and handoffs
Our delivery approach
A pragmatic approach designed for real operations: start small, prove value, then harden and scale.
Discovery & ROI Mapping
We identify the highest-impact workflows, data sources, constraints, and success metrics before writing code.
- Workflow map and automation opportunities
- Data and permissions inventory
- Risk review (PII, compliance, sensitive actions)
- Pilot scope and success metrics
Pilot Build (Prove Value)
We build an MVP inside your workflow with your AI provider keys—focused on speed, usability, and measurable impact.
- Working pilot in a real workflow
- Integration to 1–2 core systems (e.g., tickets + Slack)
- Human-in-the-loop review/approval paths
- Initial cost and performance baselines
Production Hardening
We add the operational layer: reliability, security, monitoring, and testing so the system can run day-to-day.
- Secrets management and access controls
- Logging/metrics/alerts for key workflows
- Regression tests and evaluation checks
- Error handling, retries, and fallbacks
Iterate & Scale
We expand coverage to more workflows and teams, continuously improving prompts, routing logic, and automation outcomes.
- Additional workflow automations
- Model routing and cost optimization
- Quarterly review of outcomes and reliability
- Governance and change management support
Expected outcomes
Outcomes depend on the workflow and data quality, but these are the typical improvements we target.
Less time spent on repetitive triage, routing, and copy/paste work
More consistent drafts grounded in your policies and knowledge
Pilot delivery measured in weeks, not quarters
Guardrails, approvals, and audit trails for sensitive workflows
Security-first implementation
We treat AI features like any other production system: secure by default, least privilege, and auditable.
- Client-owned API keys and secrets management (no keys in the browser)
- Guardrails for sensitive data, actions, and policy enforcement
- Monitoring, alerts, and evaluation checks to prevent regressions
Ready to integrate AI safely?
Tell us what tools you use and which workflows are the most repetitive. We’ll propose a pilot that fits your team and your data constraints.
Contact Bitscaled