If your team is searching old docs, routing leads by hand, copying data between tools, or answering the same support questions every week, I can turn one painful workflow into software your team can inspect and measure.
Best fit: a workflow with clear inputs, authoritative records, bounded unstructured context, and an output your team can verify: a CRM update, support draft, cited answer, task, dashboard, or review queue.
Start here if manual search, routing, reporting, CRM cleanup, support triage, or admin work is costing real time. I will review the fit and send back the clearest next step.
Slake designs workflow systems that use AI inside controlled boundaries. Structured data is queried directly. Retrieval is only used where the data is actually unstructured.
SQL or NoSQL logic reads records, filters, permissions, and counts directly.
Skipped unless structured data cannot fully answer the query. No global vector search across unrelated data.
Summaries and next steps use bounded context; database results stay authoritative.
Applications consume structured outputs, not just generated text.
The best first build is rarely a giant AI transformation. It is one recurring workflow where your team already knows the pain and the data already exists.
Teams search PDFs, contracts, support docs, invoices, job files, or internal notes before they can answer basic operational questions.
Inbound leads sit in inboxes, forms, CRMs, or spreadsheets while someone manually qualifies, tags, assigns, and drafts next steps.
People copy information between email, spreadsheets, billing tools, CRMs, and dashboards because the systems do not talk cleanly.
Ask Stripe documentation a technical question and see the retrieval pattern behind internal docs search, support triage, and bounded implementation support.
Try the demoA small workflow can quietly burn thousands of dollars a year when senior people are searching, copying, routing, and rechecking work by hand. This starts at a realistic operator scenario; adjust it down if your pain is smaller.
Time spent searching, copying, routing, or rechecking
Includes a simple 1.3x labor burden estimate
Send the workflow that creates the drag. I will tell you whether it is worth building, whether a simpler fix is better, and what a fixed-scope build would require.
Tables, orders, CRM records, job records, and metrics are queried through deterministic SQL or NoSQL logic. LLMs do not guess facts that the backend can calculate.
Builds sit on top of your current stack: backend services, SQL or NoSQL databases, APIs, CRMs, billing tools, support queues, and admin panels.
Structured identifiers filter notes, PDFs, comments, and logs before RAG runs. Semantic bias, weak signals, missing fields, and record/context conflicts route to review.
Outputs come back as constrained JSON that can stream into React, Angular, dashboards, tables, alerts, source panels, and approval screens.
Built on the tools your team already uses.
A simple path from messy manual work to a deployed workflow your team can inspect, test, and adjust.
We identify one manual loop with clear inputs and outputs: lead routing, document lookup, support triage, CRM cleanup, invoice work, or internal reporting.
You get a plain-English workflow map, data-boundary notes, likely failure cases, technical plan, and fixed-price build quote within 72 hours.
Build and deploy the workflow in 2 to 4 weeks with validation layers, logs, and a human review path for exceptions. You own the code and data infrastructure.
One painful workflow, one clear system, one measurable improvement.
"Stop passing permit PDFs around in email. Move to a live job record where permit requirements, status, and documents are all attached to the work order."
Start where the pain is obvious: search, routing, triage, reporting, and admin loops with inputs, rules, outputs, and known failure cases.
Search PDFs, docs, support content, product specs, or API references and return answers with citations your team can verify. Retrieval is limited to unstructured source material.
Classify inbound requests, enrich context from records, update the CRM or helpdesk, and alert the right person. Ambiguous cases are flagged instead of auto-routed.
Extract, validate, sync, and report data between email, CRM, billing, spreadsheets, dashboards, and internal tools. Bad parses and missing fields go to review.
Custom code gives you version control, logs, tests, and explicit failure handling when the workflow matters enough to stop duct-taping it together.
Most first builds land in a $4,000 to $8,000 sprint once the workflow is clear. You know what is being built before the meter starts running.
You work directly with the person mapping the workflow, building the system, and handing over maintainable source code.
Send the manual workflow that is costing time. I will tell you whether AI belongs in it, whether direct queries or rules are enough, and what the practical next step should be.
REVIEW A WORKFLOW