Do we need to replace our current CRM or database to use AI automation?

No. We connect to your existing Laravel app, WordPress site, Bullhorn CRM, HubSpot, or database via standard REST APIs and webhooks.

How are API token costs controlled?

You use your own API keys with hard monthly spend limits, and we configure per-request token caps, caching, and lightweight models for routine classification tasks.

Is our company data used to train public AI models?

No. We use commercial API endpoints where customer payloads are not used to train public foundation models, and we strip unnecessary personal fields before sending requests.

What is the best first workflow to automate?

The best starting point is a structured, repetitive internal task (such as parsing incoming CVs or quote forms into CRM fields) where a staff member can review and approve the extracted data in one click.

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AI Workflow Automation

Automate repetitive business tasks such as lead routing, document extraction, CRM updates, and support triage. Softlimes connects AI workflows to the tools your team already uses.

Lead Triage & CRM Sync
CV & Invoice Data Extraction
Grounded Internal Assistants
Human-in-the-Loop Controls

AI automation is useful when your staff spend hours every week copying information from emails, PDFs, CVs, or web forms into your CRM or back-office system. We do not sell vague AI hype; we automate specific, repetitive data tasks.

We start with one high-volume workflow, connect the APIs between your website and internal tools, enforce strict JSON schema validation on every output, and add human review rules where accuracy is critical.

Every automated run is logged in your admin dashboard so your team can see the exact input document, extracted fields, API response, and status.

If an incoming document or enquiry is incomplete or ambiguous, the workflow flags a person on your team rather than guessing.

AI workflow automation, document parsing, and CRM sync pipeline — Practical AI automations connected to your CRM, web forms, and internal databases with human approval steps.

Scope & Deliverables

What is included in AI Automation

We scope every engagement around concrete deliverables so your team knows what we will build, test, and hand over.

Enquiry triage and CRM routing

Automatically classify incoming web enquiries, extract key details, and create structured records in your CRM.

Document, CV, and invoice extraction

Parse PDFs, CVs, or application forms into structured database fields with human approval steps.

Internal knowledge and support assistants

Build grounded search assistants that help staff find answers strictly from your verified company documentation.

Audit logs and fallback controls

Monitor every automated run, cap API token spend, log errors, and route edge cases to a staff member.

E-commerce catalog and attribute tagging

Clean up messy supplier spreadsheets and standardize product specs and metafields for review before publishing.

Custom webhook and queue pipelines

Run AI tasks asynchronously in Laravel or Node.js queues so your website and portal remain fast.

Tools & Stack

Built with tools your team can maintain

Structured JSON Extraction, CRM Webhooks, Human Approval Gates & Audit Logs

OpenAI & Anthropic APIsStructured JSON Schema OutputsLaravel & Node.js Queue WorkersBullhorn, HubSpot & Webhook SyncDocument & PDF Parsing PipelinesAudit Logging & Rate Limiting

AI Automation Process

How we scope, test, and deploy your AI workflow in 5 steps

We benchmark every automation against a real sample of your documents or enquiries before connecting it to your live CRM.

Step 1

Discovery & strategy

Audit manual tasks, data sources, and error risks

We watch how your staff currently process emails, forms, or documents, calculate the volume, and define what must always require human approval.

Workflow map showing manual vs automated steps
Input/output JSON schema specification
Safety, privacy, and human-approval boundary rules

Step 2

Design & prototyping

Prototype extraction prompts and review screens

We test the extraction or classification logic against 30 to 50 real historical examples and design the staff approval view.

Accuracy benchmark on real sample records
Staff review and override interface wireframe
CRM webhook and database field mapping

Step 3

Build & develop

Build queued API pipelines, schema validators, and logs

Our engineers build the background queue workers, strict schema validation, retry logic, and cost caps inside your application.

Queued API integration with schema validation
Admin audit log showing inputs, outputs, and status
Fallback alerts for low-confidence or malformed inputs

Step 4

Test & QA

Run shadow-mode testing alongside your staff

Before allowing automatic writes to your live CRM, we run the pipeline in shadow mode on staging so your team can verify every output.

Shadow-mode accuracy and edge-case test log
Rate-limit, timeout, and API budget cap verification
Staff sign-off on review and approval controls

Step 5

Launch & support

Go live with monitoring, cost caps, and audit trails

We enable the production workflow, train your staff on the review queue, and monitor extraction accuracy and API costs.

Live production workflow with daily error/cost alerts
Staff operating guide and override documentation
Ongoing prompt, schema, and API maintenance

FAQ

Commonly asked questions about AI Automation

Direct answers on scope, timelines, code ownership, and how our team delivers ai automation.

We put human approval steps on sensitive actions, restrict models to structured JSON schemas and your verified data sources, and log every input and output so your team stays in control.

NEXT STEP

Talk to our team about your project

Send us your current URL or a short note about what you want to build, upgrade, or promote. We will reply with clear options and next steps.