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CRM & workflow automation

CRM your ops desk can run

HubSpot, Salesforce, or custom ops consoles - bulk actions, SLA on the row, and audited overrides when the CRM records data but the desk still runs a spreadsheet beside it.

You own the code · US-hour sync

Custom CRM development and workflow automation for operations and revenue teams

Who it's for

Ops, sales, service, and finance teams outgrowing the CRM. Carriers, SaaS companies, and service orgs where the CRM records data but spreadsheets, checklists, or side tools run the actual workflow.

What we deliver

Custom CRM development and modernization. Operational consoles, HubSpot and Salesforce workflow layers, automation, integrations, and role-based views - configured beside an existing CRM or rebuilt when the platform is the constraint.

Problems we solve

Side systems, brittle integrations, and ownership gaps. We map the workflow first, then build the console, automation, or connector that closes the gap.

Kriva is a product design and engineering studio - not a CRM vendor. You own the code, designs, and documentation after launch.

CRM problems

The real workflow should not live beside the CRM.

When bulk actions and role density are missing, the desk builds workarounds - each with an operational cost.

01

Spreadsheet side systems

High-volume assignment and SLA tracking live in a shared sheet beside the CRM.COST: double entry, no audit trail, stale system data.

Dispatch spreadsheet queue running beside the CRM load board.
02

Repetitive row-by-row updates

Every record change is a manual click. Bulk workarounds slow update cycles to hours.COST: dispatch backlog, supervisor rework.

CRM load board requiring one row update at a time.
03

Unclear ownership or SLA

Stage models lack exit criteria. Risk hides in a report the team never opens.COST: exceptions surface late, customers call first.

CRM pipeline stage with no owner or SLA defined on the record.

What we build

Different teams. One CRM record.

Same CRM record - different density, fields, and actions per role. We design views matched to how each team actually works the pipeline or load board.

Sales

Pipeline stages with enforced exit criteria

Rep view for daily progression. Manager view for forecast risk. Required fields before stage change - not silent automation without rollback.

Operations / Dispatch

Bulk assignment and SLA on every row

Multi-select actions, exception queues sorted by urgency, and supervisor overrides with audit history - built for high-volume desks.

Service

Case ownership and escalation paths

Queue by priority and SLA. Handoffs between tiers stay on the record. Status visible to ops without chasing updates in chat.

Finance

Settlement-ready data from the CRM

Invoice triggers, reconciliation states, and sync visibility to QuickBooks or Xero - finance sees counts and exceptions, not raw API logs.

One action should not require five separate updates.

  1. 01
    Select

    Multiple records, risk and SLA visible as selected.

  2. 02
    Validate

    Permissions, conflicts, required fields checked before applying.

  3. 03
    Apply

    One bulk action to all selected records, confirmed once.

  4. 04
    Confirm and audit

    Record written to the audit trail: who, when, affected records, outcome.

How we work

Use the current CRM until the workflow proves it needs more.

Not every workflow needs a custom build. We assess before recommending replacement.

Engagement path

Configure

Improve the existing CRM setup

HubSpot, Salesforce, or Pipedrive when stages, permissions, and native bulk actions already fit. Tune fields, views, and reports - not a platform project.

Extend

Add automation, integrations, or custom workflows

Keep the CRM as source of record. Add dispatch consoles, automation layers, API connectors, or accounting sync when one workflow or integration is the gap.

Rebuild

Replace limiting legacy or custom systems

When spreadsheets run core work, exceptions are invisible, or the platform cannot support bulk work, role density, or audited overrides - module-by-module or full replacement.

Delivery process

Map the workflow before changing the system.

Six stages from shadowing the desk to safe rollout. One team throughout - no subcontracting.

  1. 01 · Map

    Map the workflow

    Shadow users, roles, handoffs, and workarounds. Document what the CRM should control - not the ideal process.

  2. 02 · Friction

    Identify friction

    Pinpoint where side systems, permission gaps, or missing bulk actions force work outside the CRM.

  3. 03 · Design

    Design the workflow

    Prototype role-based views, automation rules, and exception handling with the desk before writing production code.

  4. 04 · Build

    Build and integrate

    Ship CRM surfaces, connectors, and automation beside the existing stack. Weekly demos on a live URL.

  5. 05 · Validate

    Validate with operators

    Test bulk actions, integrations, and edge cases against sanitized data shapes - not demo records alone.

  6. 06 · Roll out

    Roll out safely

    Phased cutover by role or module. Transfer code, designs, and docs to your accounts. Optional retainer after go-live.

Not sure which path fits? We map the workflow first, then recommend configure, extend, integrate, or rebuild - only when the current CRM cannot hold the work.

Case study · ShiftRail

Dispatch desk proof: ShiftRail.

Client context
US trucking & logistics · dispatch CRM modernization
Problem
Per-row assignment and SLA in a side spreadsheet - no override audit trail.
What Kriva built
Bulk assign as one audited event. Owner and SLA on every row. Exception queue by urgency.
Result
Less manual handle time, faster exception response, one console dispatch trusts at peak.

−32%Manual handle time per load 11 minAvg exception response 99.4%Console uptime

Signed-off ShiftRail outcomes. Illustrative UI - no client data shown.

Illustrative dispatch CRM

Dispatch console

The board dispatch actually runs on.

Console pattern from carrier dispatch work - exception queues, row-level SLA, and supervisor overrides in one surface.

Trucking & logistics solutions → Fleet dashboards →
Dispatch load board with bulk assign, SLA remaining on every row, and exception queue sorted by risk.

Integrations

The CRM must work with the systems around it.

Connectors expose failures, retries, and reconciliation states teams can act on - no silent automation.

Integrations & APIs →

CRM

  • HubSpot, Salesforce, Pipedrive workflow layers
  • Custom operational CRM and dispatch consoles
  • Module-by-module replacement paths

ERP / Accounting

  • QuickBooks & Xero invoice and settlement sync
  • Customer and vendor record mapping
  • Finance reconciliation states

QuickBooks Xero QuickBooks & Xero

Operations & Communication

  • TMS and load tender systems
  • ELD, telematics, and routing
  • Email, notification triggers, and field-team status updates

APIs / Reporting

  • REST endpoints and webhooks
  • Retry queues with operator visibility
  • Pipeline, exception, and SLA dashboards with finance-ready export states

FAQ

About CRM design.

Straight answers - so the first call starts further along.

We assess first. If stages, permissions, and native bulk actions already fit, configuration is the answer - not a platform project. Replacement only comes up when the platform cannot support bulk work, role density, or audited overrides.

Yes - HubSpot, Salesforce, and Pipedrive are the common cases. We build workflow layers, operational consoles, and automation beside them, with integration tests against your CRM schema versions and sanitized staging data. The stack is Next.js, React, and TypeScript.

Yes. QuickBooks and Xero sync for invoices and settlement, customer and vendor record mapping, and reconciliation states finance can act on - with visible retry queues and human approval where required, never silent automation.

That's the core of most engagements. Repetitive row-by-row updates become validated bulk actions: select, check permissions and required fields, apply once, and write the outcome to an audit trail - who, when, and what changed.

Yes. Records, history, and operational data are mapped and validated before cutover, with staging runs against sanitized data shapes - not blind bulk imports. Cutover is phased by role or module so daily work continues.

You own the source, designs, and documentation - everything transfers to your accounts. Retainer support is optional, with no lock-in. Iteration continues after go-live through operator feedback loops.

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