A process with a paper trail.

Seven gates. Each one produces an artifact you keep, whether or not the next phase ever happens.

What lands at each gate.

Delivery Gate Pipeline·Seven contractual verification checkpoints

Gate 01 Inspected

Tangible Artifacts Delivered at Gate 01:Zero ambiguous WIP
Repository ownership & IAM bootstrap in your cloud tenant
Cryptographic root-of-trust & branch protection invariant matrix
Baseline threat model & external perimeter attack surface audit
Clean CI/CD provenance gate with signed container build targets
Client Independence Invariant
You own the repository, encryption keys, and environment unconditionally from day one.
Contractual InvariantUnconditional

Reference designs, not case studies.

How we would approach three problems that come up often. No client’s numbers appear here, because none of these is a client’s system.

Dynamics 365 · Salesforce · your databases

Two-way sync between a CRM, an ERP and your databases

A record changed in one system arrives once, in order, in the others. When a delivery fails it is parked for someone to review, not dropped.

Four stagesStage 01 of 04 Processing

ACTIVE

Node 01

Change capture

Webhooks and change-data capture

HTTPS / TLS 1.3

Picks up changes from Dynamics 365 and Salesforce platform events as they happen.

Node 02

Buffer and schema check

Durable message queue

TLS, authenticated

Removes duplicates, rejects payloads that break the agreed schema, and holds changes until they are applied.

Node 03

Transformation

Stateless workers

Internal service calls

Maps each system’s objects onto one shared model, so a customer means the same thing everywhere.

Node 04

Delivery

REST and OData adapters

HTTPS

Writes the change to the target system or database, retrying with backoff.

When something fails

After repeated timeouts a change moves to a dead-letter queue for review instead of retrying forever.

Every payload carries a checksum, so a corrupted message is rejected rather than applied.

Schema changes stay backward-compatible, so one system can upgrade before the other.

Three shapes, priced differently.

Procurement asks this before it asks about capability, and most firms never answer it in public.

Fixed scope, fixed pricePriced after gate 03, once the architecture and the integration inventory exist. Right when the outcome is known and the budget has to be approved before work starts.

Dedicated teamA named team, billed monthly, working from your backlog. Right when the direction is clear but the scope will keep moving, and you want the same people for long enough that they learn your domain.

Embedded engineersOur engineers inside your team and your process, reporting to your leads. Right when you have the direction and the management capacity, and need throughput rather than a vendor.

What we are held to.

Every other line on this site describes how we work. These four are commitments, and they go in the contract.

TechLand Engineering support commitments: response time and update cadence by severity.
Severity	Definition	Response	Updates
S1	Production down, or data at risk	1 hour, any day	Hourly until resolved
S2	Major function degraded, no workaround	4 business hours	Daily
S3	Limited impact, workaround exists	1 business day	On change
S4	Question, or a change request	2 business days	On change

The tools we reach for.

Each one carries a status, so you can see what we build on by default and what we are still evaluating.

Languages & RuntimesCore Standard

TypeScript / Node.js

Core runtime for enterprise API gateways, client portals, and cloud microservices.

Languages & RuntimesCore Standard

Go (Golang)

Ultra-low latency microservices, concurrent stream ingest, and network proxies.

Languages & RuntimesTargeted Path

Rust

Critical performance paths, zero-allocation serialization, and financial ledger reconciliation.

Languages & RuntimesAdopted

Python

Enterprise AI orchestration, FastEmbed inference pipelines, and LangGraph multi-agent workflows.

Cloud & Distributed SystemsCore Standard

Kubernetes & Helm

Declarative container orchestration across multi-region hybrid clouds.

Cloud & Distributed SystemsCore Standard

Terraform / OpenTofu

Strict GitOps-driven Infrastructure as Code with zero manual mutations.

Cloud & Distributed SystemsCore Standard

Apache Kafka / Pulsar

High-durability distributed event backbone for asynchronous enterprise transactions.

Cloud & Distributed SystemsCore Standard

PostgreSQL & CockroachDB

ACID-compliant relational architectures with distributed failover and row-level security.

Enterprise IntegrationCore Standard

Dynamics 365 OData / Web API

Deep bidirectional integrations with Microsoft ERP and Power Platform systems.

Enterprise IntegrationCore Standard

Salesforce API & Platform Events

Real-time event streaming and customer intelligence synchronization.

Enterprise IntegrationCore Standard

HL7 FHIR & SMART on FHIR

Clinical data exchange protocols for Epic Systems and AthenaHealth EMR integrations.

Enterprise IntegrationCore Standard

gRPC & Protocol Buffers

Type-safe, binary RPC communication for high-performance internal microservices.

Data & Applied AICore Standard

Vector Stores (pgvector / Pinecone)

Semantic search and domain knowledge retrieval with strict tenant boundary isolation.

Data & Applied AIAdopted

Model provider APIs (OpenAI, Anthropic, Google)

Reasoning and structured extraction grounded in the client’s own data, with data-retention terms agreed per engagement.

Data & Applied AICore Standard

ClickHouse OLAP

Sub-second analytical queries across high-velocity time-series and audit logs.

Data & Applied AIAdopted

Temporal.io

Durable execution engine for resilient, long-running distributed workflows.

You can fire us without a migration project.

Everything we build is deployable by your own team: source in a repository you control from day one, infrastructure as code, an SBOM per release, and a runbook written for someone who has never met us. The handover terms are in the contract from the start, not negotiated at the end.