CAPABILITIES

System Integrations & AI Modernization

We integrate into what exists instead of replacing it: Slack, Google Drive, Sheets, Docs, Dropbox, and Meta Ads integrations shipped inside our ad-production platform; a 34-tool MCP server for Meta Ads; embedded modernization inside a Fortune-tier technology company and PE operating companies.

PRACTICE NO.
08
PRINCIPALS
PA · AJ
CASES ON FILE
01
FIELD
SAAS & DEVELOPER TOOLS · PROFESSIONAL SERVICES · ADVERTISING & MARTECH · DISTRIBUTION & LOGISTICS
System Integrations
FIG. 01 · NEIGHBORHOOD MAP · SOURCE: TEAM EXPERTISE DATASET

PROBLEM SPACE

AI wired into the stack you already run: CRM, inbox, docs, ads, ops.

We integrate into what exists instead of replacing it: Slack, Google Drive, Sheets, Docs, Dropbox, and Meta Ads integrations shipped inside our ad-production platform; a 34-tool MCP server for Meta Ads; embedded modernization inside a Fortune-tier technology company and PE operating companies.

ROUTINE CLEARS AUTOMATICALLYEDGE CASES ROUTE TO A REVIEWER

WHAT WE DELIVER

  • 2.1API & MCP integrations
  • 2.2AI layers over legacy stacks
  • 2.3workflow rewiring
  • 2.4data sync
  • 2.5incremental modernization roadmaps
34-TOOL MCP SERVER

HOW IT SHIPS

Systems in this practice run as a loop, not a launch. Inputs are syncd, routine outcomes execute automatically, and anything consequential holds at a review gate where a named person clears it with context attached. Every decision (human or automatic) lands in the audit trail.

INPUTSYNCGATEEXECUTEAUDITHUMAN REVIEW · CONSEQUENTIAL ONLY
THE ENGAGEMENT MODEL BEHIND THIS →

PROOF

34
tools in one Meta Ads MCP serverMETAADS-MCP
7
Slack channels orchestrated in one productIN-HOUSE AD PLATFORM
CASE FILE 01 · AD PLATFORM (IN-HOUSE) · AI VIDEO AD PRODUCTION PIPELINE · 5× WEEKLY AD OUTPUT

SELECTED PROJECTS · CLIENTS ANONYMIZED

A data spine for mid-market portfoliosTwo North American private-equity firms, across $10M-$50M portfolio companiesA visual strategy builder that backtests before it tradesA retail algorithmic-trading platform
EVERY FIGURE TRACES TO SHIPPED WORK

WHO BUILDS IT

Parik AhlawatPrincipal · Agents & OrchestrationMulti-agent platforms, model routing, n8n orchestration. 618+ automations shipped across 12 industries.PROFILE →Arpit JhambPrincipal · Data & Portfolio OpsPE-backed data + portfolio consulting. ETL, executive dashboards, business automation across operating companies already running on real systems.PROFILE →

FIELD NOTES

Private AI, in-house: the shift to internal models and agentic infrastructure6 MIN READWhat AI can actually automate in a 3PL back office (and what it can't)5 MIN READIntegrate, don't replace5 MIN READ

ADJACENT

Asked about this practice

Questions we get.

The same answers we give on a first call about this practice.

  • FAQ-01Do we have to modernize our whole stack before the AI works?

    No, and starting there is how AI projects die. We layer AI over the stack you already run instead of migrating first. If a proposal begins with a migration, it is an infrastructure project wearing an AI costume.

  • FAQ-02What systems can you actually integrate with?

    The ones you use. Inside our ad-production platform we wired Slack, Google Drive, Sheets, Docs, Dropbox, and Meta Ads, and built a 34-tool MCP server for Meta Ads. The integration surface of APIs, webhooks, and exports is almost always richer than teams assume.

  • FAQ-03Is there ever a case for replacing a system?

    Sometimes, but that decision should stand on its own merits and timeline, never as a toll you pay before the useful work can start. We modernize incrementally, with a roadmap, so trust is granted in increments rather than bet all at once.

OPEN A NEW FILE

Tell us the use case. One call is enough to scope whether there is a fit, and what it takes to ship.

Start a brief