What can AI agents take over in Hi-tech / SaaS operations?

tacitrun ships 13 Hi-tech / SaaS process blueprints — Lead routing & SLA, Pipeline hygiene, Weekly sales forecast roll-up and CRM data quality and more — each stating its inputs, outputs, KPIs and the points where a person stays in the loop. They are the starting point: the domain agents themselves are built by reading your own procedure, and every write they make waits for your approval.

High-value hi-tech / SaaS processes.

Revenue operations

Lead routing & SLA

Assign inbound leads to the right rep by territory/segment and enforce the first-touch SLA.

Inputs
Inbound lead · Territory / segment rules · Rep capacity
Outputs
Routed lead · SLA timer / escalation
KPIs it moves
Speed-to-lead · SLA adherence · Routing accuracy
Systems it usually runs on
CRM · Marketing automation · Slack
Where a person stays in the loop
Exception / VIP routing

Pipeline hygiene

Flag stale, missing-next-step, or mis-staged opportunities; nudge owners; keep the pipeline trustworthy.

Inputs
Open opportunities · Stage / activity rules
Outputs
Hygiene flags · Owner nudges · Clean pipeline
KPIs it moves
% opps with a next step · Stale-opp rate · Forecast accuracy
Systems it usually runs on
CRM · Slack
Where a person stays in the loop
Stage / close-date changes

Weekly sales forecast roll-up

Assemble the weekly forecast from CRM (commit / best-case / pipeline) by segment and flag week-over-week deltas.

Inputs
Opportunities + stages · Rep / manager calls · Historical conversion
Outputs
Forecast roll-up · Delta + risk callouts
KPIs it moves
Forecast accuracy · Slippage · Submission timeliness
Systems it usually runs on
CRM · Spreadsheet / BI · Slack
Where a person stays in the loop
Forecast submission sign-off

CRM data quality

Dedupe accounts/contacts, fill required fields, and normalize values so downstream automation and reporting stay reliable.

Inputs
Accounts / contacts · Data-quality rules
Outputs
Dedupe / merge proposals · Enriched + normalized records
KPIs it moves
Duplicate rate · Field completeness · Records auto-cleaned
Systems it usually runs on
CRM · Enrichment
Where a person stays in the loop
Merge approval

Go-to-market & Success

Deal desk approval

Review non-standard deals for pricing, discount, and terms approval.

Inputs
Quote/opportunity · Pricing policy · Discount
Outputs
Approved deal · Exception terms
KPIs it moves
Approval cycle time · Discount leakage · Win rate
Systems it usually runs on
CRM · CPQ · Billing
Where a person stays in the loop
Discount/terms approval

Renewal risk triage

Score renewal/churn risk from usage and signals; route plays to CSMs.

Inputs
Usage data · Support history · Renewal date
Outputs
Risk score · Renewal play
KPIs it moves
Gross retention · At-risk catch rate · Renewal cycle time
Systems it usually runs on
CRM · Product analytics · CS platform
Where a person stays in the loop
Save-offer approval

Customer onboarding

Drive a new customer through provisioning, configuration, and time-to-value milestones.

Inputs
Signed contract · Implementation plan
Outputs
Activated customer
KPIs it moves
Time-to-value · Onboarding completion % · Early-churn rate
Systems it usually runs on
CRM · CS platform · Provisioning
Where a person stays in the loop
Go-live sign-off

Renewals & Quote-to-Cash

Renewal quote & opportunity

Proactively build the renewal quote, ensure a CRM opportunity exists, and attach the quote with the correct products and pricing.

Inputs
Contract + renewal date · Usage / entitlements · Pricing policy
Outputs
Draft quote · CRM opportunity + linked quote (correct products)
KPIs it moves
On-time renewal rate · Net revenue retention · Quote cycle time
Systems it usually runs on
CRM · CPQ · Product analytics
Where a person stays in the loop
Quote review / modify

Quote review & send

Rep reviews and modifies the drafted quote, then sends it to the customer.

Inputs
Draft quote · Account context
Outputs
Sent quote · Customer communication
KPIs it moves
Time-to-send · Discount leakage
Systems it usually runs on
CRM · Email · CPQ
Where a person stays in the loop
Send approval

Acceptance capture

Capture the customer’s acceptance of the quote (rep-confirmed) and trigger fulfilment.

Inputs
Customer acceptance · Approved quote
Outputs
Acceptance recorded · Fulfilment trigger
KPIs it moves
Acceptance-to-order time
Systems it usually runs on
CRM · Email
Where a person stays in the loop
Confirm acceptance

Quote-to-order fulfilment

From the accepted quote, generate the order, create the contract and submit it to the CLM, and update the CRM — then confirm back to the rep.

Inputs
Accepted quote · Opportunity
Outputs
Order · Contract in CLM · Closed-won opportunity
KPIs it moves
Order cycle time · Manual touches per renewal · Booking accuracy
Systems it usually runs on
CRM · Order / ERP · CLM
Where a person stays in the loop
Booking sign-off

Product-led growth & digital

Self-serve (PLG) onboarding

Drive a self-serve signup to activation with in-product guidance and nudges.

Inputs
Signup · Product usage · Activation criteria
Outputs
Activated account · Expansion signal
KPIs it moves
Activation rate · Time-to-value · Free-to-paid conversion
Systems it usually runs on
Product analytics · CRM · Billing
Where a person stays in the loop
Abuse / fraud review

Usage-based billing & overage

Meter usage, rate it against the plan, and handle overage / true-ups and disputes.

Inputs
Usage events · Pricing / plan · Contract
Outputs
Invoice · Overage notice
KPIs it moves
Billing accuracy · Revenue leakage · Dispute rate
Systems it usually runs on
Metering · Billing · ERP
Where a person stays in the loop
Dispute / credit approval

What a blueprint is, and is not

A blueprint supplies the vocabulary, the typical steps, the KPIs and the approval points for a process. It is a starting point, not a pre-built agent: tacitrun builds the domain agents by reading your own procedure, tests them against cases derived from it, runs them in shadow beside your team, and holds every write for a person. Your IT connects the systems and approves before anything goes live.

Questions people ask

How do I give an agent a reference document (e.g. a sample template) to use at runtime?
Two places, both drag-and-drop: (1) for ONE agent, open it → Knowledge tab → drop the file on “Documents it can look up”; (2) for the WHOLE process (available to every agent in it), the process page has a “Documents for this process” card — drop it there. For example, drop a sample proposal template for a Proposal Generator. Whatever the format — PDF, Word, Excel, CSV, HTML, text, OR a screenshot/image (PNG, JPG, etc.) — we handle it: documents convert to clean markdown (tables and headings preserved, not a flattened blob), and images/screenshots are read by vision (Claude) which transcribes all the text and describes what’s in them (e.g. a screenshot of an invoice becomes a markdown table of its line items). Then we cap it to a sensible size for efficient token use, chunk and embed it so retrieval is sharp. It’s added immediately (no IT approval needed, nothing hardcoded) and shows in the document list. From then on the agent searches it live every run and uses it as a reference — e.g. it drafts new proposals in the shape of your template. To have it ALWAYS apply a rule instead of just look it up, use “Teach it” on the same tab (or the Rules tab for enforceable policies).
What is the Salesforce Data Hygiene blueprint, and how do I use it?
It’s a pre-built end-to-end process (a "crew" of 5 domain agents) that replaces the manual job of cleaning up messy CRM data and re-importing it. In the Catalog it shows as a Blueprint with the problem it solves, the outcomes it delivers, and the process mapped to each domain agent: (1) Data Quality Auditor profiles the object and reports duplicates/blanks/malformed/stale records; (2) Duplicate Finder & Merger proposes human-approved merges; (3) Field Standardizer normalizes phone/state/country/titles/casing; (4) Data Re-import Loader picks up a cleaned file (SFTP/SharePoint/Drive) and UPSERTS each row by external ID — so re-runs update the same record instead of creating duplicates; (5) Import Reconciliation Auditor verifies the load matched the source. Adopt each step from the blueprint; we build a private copy in your workspace that you can adapt, connected to your own Salesforce. Every write goes through human approval until you trust it.
What’s a Skill vs a Blueprint?
A Blueprint is a starter process template. A Skill is a reusable knowledge pack a domain agent loads on demand at runtime.
Do you have blueprints for private equity / deal teams?
Yes. Pick "Private equity" in Blueprints to get the full deal lifecycle (origination → diligence → execution & close with IC + signing gates → value creation → exit), plus the cross-portfolio value-creation playbook as standardized levers (working capital, FP&A, pricing/margin, spend analytics, JML access) that deploy identically across every portfolio company. Human-approval gates are built into the deal-close and IC steps. On Ingest, choosing "Private equity" also offers starter templates — Deal Sourcing & Screening, DD Red-Flag Log, IC Memo & Approval, and 100-Day & Value-Creation Plan.

Why offload this process to tacitrun’s AI operating layer

tacitrun is built for exactly this handoff: a business team describes the process it already runs, and the platform turns it into governed domain agents that work across the systems you have, under your IT’s approval, with every write waiting for a person.

Built from your procedure, not a vendor template
Describe the process in plain English or hand over the SOP. tacitrun compiles it into a process graph and composes one domain agent per step, so the agents carry your rules, your exceptions and your vocabulary.
Tested against the process before it can act
Evaluation cases are derived from the graph itself, so a passing agent is one that does what your process says. Then it runs in shadow beside your team on real work before anyone lets it act.
Every write stops for a person
The approval gate sits on the actual call to Salesforce, Shopify, SendGrid, SAP or any connected system. A person accepts, modifies or rejects; the corrected version is what executes; the trace keeps the record.
Runs across the systems you already have
Built-in connectors, your own REST APIs or MCP servers, and on the Enterprise plan your own cloud project and your own models. The systems of record stay where they are; the layer does the work between them.
IT approves, business leads
Business users build and prove; IT connects the credentials, binds the fields and approves before anything goes live. Neither side inherits the other’s risk.

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