Ship AI workflows every month without hiring an AI team.
Taldyn gives your company a monthly AI build lane. Submit workflow requests, approve fixed-credit scopes, and get production-ready automations, agents, and internal tools shipped.
RequestScopeBuildShip
- Sales Call → CRM Follow-UpIn QA · 5 credits
- Proposal GeneratorAwaiting Approval · 8 credits
- Support Ticket TriageIn Delivery · 13 credits
Representative data — this is what a build lane looks like
Built for teams with recurring workflow backlog.
Taldyn works best when your team has repeatable sales, support, recruiting, reporting, or operations workflows that keep getting discussed but never shipped.
- ▸B2B service companies
- ▸Staffing and recruiting firms
- ▸Agencies
- ▸MSPs and IT services firms
- ▸Sales-led SaaS teams
- ▸Support-heavy operators
- ▸Founder-led companies with too much manual work
- ▸Ops teams with a real workflow owner
- Pre-revenue startups
- One-off chatbot experiments
- Teams looking only for AI training
- Companies without a workflow owner
- Companies not ready for a 90-day build lane
- Requests involving sensitive or regulated data without proper review
A pod works when there is real backlog, real workflow volume, and a real owner.
If you're in the left column, book a workflow call. If you're in the right column, we are probably not the right partner yet.
How credits work
Every build starts with a written scope. You approve the deliverables, acceptance criteria, timeline, and credit estimate before work starts.
Submit a request
Send us the workflow, automation, agent, dashboard, or internal tool you want shipped.
We scope it
We define deliverables, acceptance criteria, timeline, dependencies, and credit estimate.
You approve it
Credits are reserved only after you approve the written scope.
We ship it
We build, QA, document, deploy, and deduct credits when the work is accepted.
- ▸Discovery notes input
- ▸Proposal draft output
- ▸Approved service-language library
- ▸Google Doc export
- ✕Pricing logic
- ✕Contract generation
- ✕CRM integration
Accepted when a user can paste discovery notes and generate an editable proposal draft using approved company language.
Every request gets a scope like this before any credits move
Common first builds
Most clients start with one painful, repeatable workflow where manual work slows revenue, delivery, support, recruiting, reporting, or operations.
Sales Call → CRM Follow-Up
Turn call transcripts into CRM notes, follow-up drafts, next steps, and manager summaries.
Proposal / SOW Generator
Turn discovery notes into structured proposal drafts using approved company language.
Lead Research Workflow
Research target accounts, summarize buying triggers, and draft personalized outreach.
Support Ticket Triage
Classify tickets, suggest priority, draft responses, and escalate exceptions.
Candidate Screening Assistant
Summarize resumes, compare against role criteria, flag risks, and draft candidate notes.
Internal Knowledge Assistant
Search company docs, answer internal questions, and cite source material.
Document Extraction Workflow
Extract structured fields from PDFs, emails, forms, or documents and route them for review.
Executive Reporting Automation
Turn scattered operational data into recurring weekly or monthly summaries.
Multi-System Workflow
Connect multiple tools into a governed AI workflow with approvals and audit trail.
Choose your build lane
Start with one focused workflow lane. Scale credits as the backlog proves itself.
All pods start with a 90-day commitment so we can map the backlog, ship the first workflows, and prove the delivery lane works.
Best for one focused AI workflow lane.
- ▸Request intake
- ▸Credit-based scoping
- ▸Build + QA
- ▸Basic documentation
- ▸Two working sessions/month
- ▸Monthly impact summary
Best first pod for companies with recurring AI/build backlog.
- ▸Weekly delivery call
- ▸1–2 shipped workflows/month depending on scope
- ▸Training handoff
- ▸Priority backlog review
Best for teams ready to ship multiple workflows.
- ▸Biweekly demos
- ▸Expanded delivery capacity
- ▸Monthly executive report
- ▸Roadmap for next build cycle
Note — Credits are not hours. Credits represent delivery complexity, integrations, testing, documentation, and acceptance criteria.
Third-party tools, model usage, enrichment, hosting, and client-specific software costs may be billed separately when required.
Not sure which lane fits? We'll scope your first workflow on the call.
View full pricing details›
The deployment loop
We do not start with a transformation program. We start with one workflow that should already exist, ship the first version, and improve it based on real usage.
Signal
Find the workflow with the clearest pain, volume, owner, and business value.
Blueprint
Define the scope, data needs, acceptance criteria, risks, and credit estimate.
Build
Ship the first version with AI-augmented development, integrations, QA, and documentation.
Deploy
Put it in front of users, train the team, and monitor where it works or breaks.
Compound
Improve the workflow, expand the backlog, and turn one useful build into a repeatable delivery lane.
Example deployment patterns
Representative AI workflows Taldyn can scope, build, and operate through the AI Build Pod model — scoped in credits and built into your stack.
Revenue Operations Console
A command center that combines CRM activity, call notes, pipeline movement, renewal risk, and next-best actions into one operating screen.
Knowledge Retrieval System
An internal search and answer layer across docs, Slack, tickets, SOPs, calls, and project history.
Recruiting Workflow Agent
A supervised agent that screens inbound candidates, drafts outreach, updates ATS records, and flags high-fit profiles.
Customer Support Copilot
A production support assistant trained on company policy, prior tickets, product docs, and escalation rules.
Executive Signal Dashboard
A live dashboard that surfaces operating risks, bottlenecks, anomalies, and team-level updates before meetings happen.
Every pod runs on written scopes, approved credits, visible delivery, and documented handoff.
We design deployments around your data requirements, approved vendors, and security constraints. For sensitive workflows, architecture is reviewed before build and may require separate scope. Where required, workflows can include access boundaries, human approvals, audit trails, and vendor settings that prevent model training on client data.
Deliverables, acceptance criteria, and dependencies defined in writing before work starts.
You approve the written scope; credits are reserved before anything gets built.
Review points and approval gates wherever judgment or risk lives — automation with a steering wheel.
Your systems, your credentials, your access boundaries — you decide what we can touch.
Demos and delivery status on a weekly rhythm — you always know what's shipping.
Every build is tested against its acceptance criteria before you ever see a demo.
Every build ships with documentation, training handoff, and documented assumptions.
Sensitive workflows get an architecture review before build — and may require separate scope.
Founder-led delivery. No handoff maze.
Taldyn is run by senior, US-based operators who stay close to scoping, delivery, QA, and client outcomes. No offshoring, no subcontractor maze. You are not buying a black-box agency queue. You are buying a controlled build lane with clear ownership.
Questions? We have answers.
No. Credits are delivery complexity units. They account for scope, integrations, testing, documentation, and acceptance criteria.
Credits are reserved when you approve a scope and spent when the work ships and is accepted.
You can move the request to the next month, approve overage credits, reduce scope, or upgrade your pod.
Fixes inside the approved acceptance criteria do not consume extra credits. New requirements are scoped separately.
Full custom SaaS builds, major data warehouse rebuilds, regulated workflows without security review, and unrelated consulting are scoped separately.
The client owns the deliverables after payment, subject to third-party platform and tool terms.
Most starter pods begin with workflow backlog creation and the first scoped build in the first 1–2 weeks after kickoff.
Teams with recurring manual workflows, a real owner, and enough volume to justify a 90-day build lane.
Ready to ship the first workflow?
Limited pod capacity. Best for teams ready to ship in the next 30–90 days.
Taldyn gives the work an owner, a build lane, and a deployment loop — and does not stop after the first launch.
Open a channel with Taldyn.
See Example Builds ›Not ready to talk? Start with the AI Readiness Playbook ›Same automation ideas every quarter, nothing ships? That is an ownership problem — and exactly what a pod fixes.